Brand Truth

The architecture behind the identity: how setmode thinks, speaks, and presents itself.

Version 4.2 · April 2026 · Shared Edition
Before You Read

The complete system: identity, positioning, voice, visual design, and standards.

01 · Identity

Who setmode is

What setmode feels like. The values, posture, emotional territory and the arc it creates in every encounter.

Calm authority that opens into genuine excitement.

The design is calm. The effect is energising. A CEO dealing with AI noise needs relief first. Relief comes before excitement. The brand earns the excitement by delivering the relief first. Underneath the rigour: a genuine belief that AI changes what organisations can do.

The Five Values

Value 01

Architecture Over Discussion

Every engagement produces systems, not conversations. Deliverables are the programme: designed in, built throughout, owned permanently.

Test: Would this session still have value if the participant forgot everything they heard but kept the deliverable?
Value 02

Rigour Is the Product

The structure of the programme is the value. The module sequence, the deliverable quality bars, the session rhythm, the dependency chain. The structure is fixed. The content is always specific.

Test: If we removed this structural element, would the programme still compound?
Value 03

Clarity Cuts Through

Every communication, every session, every deliverable reduces ambiguity and points to the next action. Jargon signals performance. Precise language transfers expertise.

Test: Does this communication create clarity or perform it?
Value 04

Institutional Permanence

We build for the organisation that exists after we leave. Every deliverable, every workflow, every governance structure is designed to compound after Week 12.

Test: Could this organisation continue building independently after Week 12?
Value 05

Unapologetic Elevation

For leaders ready to move from competent to best-in-class. The standard is held without apology. The right organisation feels this as respect. The wrong organisation feels it as a barrier.

Test: Are we engaged because they are ready?

The Anti-Values

Discussion without output

Conversations evaporate. Systems compound.

Training without transformation

Teaching what AI can do is knowledge transfer. Changing how the organisation operates is a different category.

Accessibility at the cost of rigour

Making the programme easier to approve by making it less demanding is a disservice disguised as accommodation.

Generic content dressed as strategy

Frameworks that work for every organisation work optimally for none.

Consultant dependency

A programme that requires setmode to remain engaged after Week 12 has failed its primary obligation.

How Values Govern Decisions

Organisation asks to modify the programme
Value 02: Rigour Is the Product
Communication feels complex or jargon-heavy
Value 03: Clarity Cuts Through
Session produces no deliverable
Value 01: Architecture Over Discussion
Organisation arrives without CEO sponsorship
Value 05: Unapologetic Elevation
Output creates reliance on setmode
Value 04: Institutional Permanence

The Emotional Arc

Every first encounter with setmode moves the reader through the same sequence.

Recognition

"That is exactly what is happening to us."

The brand names the problem with enough precision that the reader feels seen. The feeling: relief.

Trust

"These people have seriously thought this through."

The architecture, the sequence, the deliverables, the rigour. The feeling: confidence.

Conviction

"I want to build this."

A clear, structured, rigorous path. The feeling: something important is within reach.

Does this create clarity, build trust and respect the intelligence of the person receiving it?

Yes: on-brand. No: rewrite.

02 · Positioning

What setmode stands for

The belief, the audience, the experience truths, and the associative field.

The Belief

The AI problem inside organisations is an operating model problem. The market treats it as a skills problem or a strategy problem. Both are wrong in the same structural way: they assume that improving the parts improves the system. It does not.

The Contrarian Truth

Individual Intelligence does not compound. Only Institutional Intelligence compounds. Every dollar spent building the former without converting it to the latter is a depreciating asset.

The Paradigm Shifts

The old reality and the new reality. Every positioning decision reinforces the right-hand column.

Old RealityNew Reality
AI as individual productivity toolAI as organisational operating system
Scattered point solutionsCompounding intelligence architecture
Skills hidden and unevenCapability distributed across leadership
Knowledge produced by trainingSystems produced by doing
AI owned by a champion or an IT teamAI owned collectively: everyone builds, everyone compounds
Strategy separated from executionStrategy and capability built simultaneously
Productivity gains stay with the individualThroughput compounds for the organisation
AI initiatives are experimentsAI initiatives become institutional assets
Compliance inconsistent, risk unmanagedGovernance established, risk owned
Start from scratch with every new AI needBuild once, reuse, compound

The Audience

A CEO who already feels the gap between individual AI activity and organisational AI capability, suspects the gap is structural, and does not yet have the language or the architecture to act on that suspicion. Full audience definition, personas and disqualifiers in Section 03.

The Five Experience Truths

What must be true in the experience for the brand to be believed.

01 · Every session produces a deliverable

A session without a named, owned, institutional-quality output has failed by definition.

02 · The deliverables connect into a system

28 standalone documents are a filing cabinet. An operating model is an architecture where each component is load-bearing.

03 · The quality bar is institutional

A deliverable that reads like a course assignment breaks the brand immediately. These documents go to the CEO.

04 · The programme survives its facilitator

If the programme depends on a single facilitator, it is doing what it accuses training providers of doing.

05 · Week 13 feels like the beginning

The Commissioning is a launch. The champion takes ownership equipped, authorised, and ready to continue building.

The Founding Arc

A CEO-signed declaration of institutional intent at the start, measured against delivery at the close.

Session 1 · The Founding

Three movements. First: a provocation, each participant answers two questions in writing before any framework is introduced. Second: the I/I reframe, Individual Intelligence versus Institutional Intelligence, the three failure modes, the compounding dynamic. Third: each participant drafts and signs a Founding Statement, a declaration naming the gap, witnessed by the cohort. The CEO goes last.

The statement is signed, kept, and referenced at every Anchor Workshop.

Session 12 · The Commissioning

A commissioning, not a handover. Each participant reads their Founding Statement and names what changed. The CEO delivers a Commissioning Statement: what was built, what capability now exists, what the organisation can do that it could only plan before. Every deliverable receives a named owner, a review cadence and an operational home.

The facilitator leaves. The work continues.

Positioning Statement

We build AI operating models for organisations ready to convert individual capability into institutional architecture that compounds after we leave.

The Two Pitches

Two pitches for two audiences. The CEO pitch answers the organisational question. The participant pitch answers the personal question.

The CEO Pitch

You signed up for AI transformation. Your organisation is spending on tools. Your people are using them. Productivity metrics are improving. And yet the organisation itself is not getting smarter. When your best AI practitioner leaves, the capability leaves with them. When you hire the next person, they start from zero. The knowledge compounds for individuals. The institution stays flat.

That is the operating model gap. It is the gap between what your people can do with AI and what your organisation can do as a system. It is solvable. It requires a different kind of intervention from what most organisations are getting.

setmode is a 12-week programme that builds the operating model that closes that gap. We start with your Founding Statement: a CEO-signed declaration naming the business context, the current capability gap and what you are committing to build. That statement is what every subsequent session is designed to deliver against.

Twelve weeks later, you deliver the Commissioning Statement. You read the Founding Statement back and name what has changed: which workflows are running, which governance decisions have been made, which capability has been distributed across your leadership team and what the organisation is able to do that it could only plan before. The facilitator leaves. The operating model stays.

The programme produces 28 named deliverables, owned by named people in your organisation. Two live prototypes running in production. A governance framework with named owners. A shared Prompt Library. A scaling roadmap. An institutionalisation plan. All of it documented, owned and operational from the day after the programme ends.

The measure of success is institutional capability that compounds after we leave.

The Participant Pitch

You are probably already using AI tools. You have seen what they can do. You have built prompts that save you hours. You have redesigned parts of your workflow. And you have a sense that what you are building individually is not going to become part of how the organisation operates, that the workflows you design will stay with you, the prompts will stay on your laptop, and when you move on, the organisation will start again from scratch.

You are right about that. And setmode is the programme designed to change it.

This is not a training programme. You will use AI throughout every session, but the point of the programme is what you build with it. Over twelve weeks, you will produce the AI-enabled operating model for your function: documented workflows, a governance framework, a prototype running in production, playbooks your team can run without you.

By the end, your role has changed. You move from AI user, someone who uses AI tools to get their own work done faster, to institutional architect: the person who designed the AI capability for their function, who owns the governance decisions for their domain, who produced the playbooks that transfer that capability beyond themselves.

The deliverables you build during the programme belong to the organisation permanently. The AI Workflow Library does not disappear when you leave. The Prompt Library does not sit on your laptop. The governance framework you helped design does not live in your head. These are systems. They compound.

The Associative Field

Six brands that share the visual and emotional territory setmode occupies. Each carries a specific quality.

Aesop

Restraint as a luxury signal. A narrow palette held with total consistency reads as authority, not limitation.

The Economist

A brand that respects its audience's intelligence can afford to be quiet. The reader does the work.

Vitsoe

When the system is genuinely good, the visual identity can be genuinely minimal. Constraint signals confidence.

Patagonia

When the belief is real, the design can be plain. Conviction does the work that decoration cannot.

Eight Inc

The architecture serves without performing. The experience is clear before anyone explains it. Pierre's lineage.

Bloomberg Terminal

When you are building the operating system an institution runs on, every colour means something. Indispensable rather than beautiful.

The Seven Visual Principles

Seven principles emerge consistently across all six associative brands. These govern the design system.

01 · Material Honesty

Real materials shown as they are. Nothing simulated. Nothing decorative where it could be structural. A surface that looks like paper behaves like paper: light, precise, layered.

02 · Systematic Constraint

Narrow palettes held with total consistency. When a colour appears, it means something. When a typeface changes, it signals a structural shift. Nothing is arbitrary.

03 · Typography as Architecture

Type choices carry the information hierarchy. The typeface is the load-bearing element. It creates the hierarchy, carries the tone, and signals the altitude.

04 · Earned Quiet

The quiet is earned by the depth underneath. Remove all colour from the interface. If the hierarchy still holds, the quiet is earned.

05 · Conviction Over Decoration

Every visual element serves the positioning or serves the user. There is no third category. An element that serves the brand's ego actively undermines the conviction it claims.

06 · Specificity of Audience

The design speaks at the altitude of the CEO. It does not explain itself to the wrong audience. The visual language feels made for someone specific.

07 · Systems That Compound

Nothing is disposable. Everything is built to accumulate. A design system that deepens over time, adding components within the same logic, signals the same compounding the programme promises.

setmode Visual Character

The seven principles translated into specific visual direction.

Light Canvas, Not Dark

The CEO's world is boardrooms, printed documents, and strategy decks. A light canvas places setmode in the world of institutional documents, architecture, and professional practice. A dark canvas places it in developer tools and terminal screens.

Warmth Through Material, Not Through Colour

Warmth comes from the canvas itself: the off-white tone of good paper, the weight of a linen-bound report. Background surfaces carry the warmth. Accent colours remain precise, desaturated, and semantic.

Typography That Carries Institutional Weight

The type choice determines whether setmode reads as a consultancy, a technology platform, or an institutional design practice. The choice resolves toward the third. Gelasio carries the weight of a strategy document. Inter carries the clarity of a well-designed report.

Colour as Signal, Not as Identity

Outside semantic uses, colour recedes. A CEO should describe setmode's visual identity in terms of feel: "precise," "clean," "serious," "warm." If the first word is a colour, the design system has relied too heavily on it.

Spatial Clarity Over Information Density

The programme's complexity (12 modules, 28 deliverables, 7 categories, 3 phases) must feel navigable, not overwhelming. The surface is calm. The depth is available on demand.

The Boardroom Test, Applied Everywhere

Project any screen onto a wall in a dimly lit conference room. Can a CEO read it from two metres? Does it look like something that belongs in that room? The visual standard is the bound strategy document.

Consistency as Compounding

The visual system does not change seasonally. It does not follow trends. An organisation that encounters setmode in 2026 and again in 2028 should recognise the same visual language, more fully expressed.

03 · Audience

Who setmode serves

The ideal organisation, the four personas inside every engagement, and the identity arc each travels. Boundaries included.

The Ideal Organisation

Mid-market organisations with a real, cohesive management team that is ready to move from AI experimentation to AI architecture.

DimensionCriteria
Annual Revenue$15M – $250M (sweet spot $30M – $150M)
Management Team15 – 50 (CEO + C-suite + direct reports)
StructureCohesive team; CEO holds budget authority
AI MaturityPast initial adoption, approaching operating model design
Digital InfrastructureBasic SaaS stack in place; not AI-native
GeographyUS, UK, Australia, Canada, Western Europe, Singapore, GCC / UAE

Buying Triggers

Competitive anxiety

A direct competitor has visibly accelerated using AI. The question shifts from "should we?" to "how do we do this before we fall behind?"

Productivity without throughput

Individuals are getting faster. Organisational output is unchanged. "Everyone is using AI but I cannot see it in the numbers."

Failed or stalled initiative

A previous AI attempt did not scale or compound. The organisation is looking for a different approach.

New leadership mandate

A CEO or strategy leader has taken on the AI agenda as a personal priority and is looking for a structured programme.

Investor or board pressure

Board-level pressure to demonstrate AI capability and ROI is creating urgency, particularly in PE-backed or VC-funded firms.

Disqualifiers

Organisations to walk away from. The wrong organisation should self-select out before a conversation starts.

SignalWhy It Disqualifies
Revenue under $15MManagement team too lean; insufficient functional depth to compound
No real management teamProgramme requires distributed ownership; one person holding all authority cannot scale
Revenue over $300MCommittee buying cycles and procurement timelines prohibit the pace this programme requires
AI awareness at stage zeroProgramme is designed for organisations past basic literacy
No CEO sponsorshipWithout the economic buyer, the programme stalls at middle management
Seeking tool deploymentThe organisation needs a systems integrator. setmode builds operating models.

Sector Prioritisation

Four sectors with active CEO's Playbook positioning. Each has a structural forcing function that makes the AI operating model question urgent now.

Commercial Real Estate

Investment volumes fell 50% in two years. AI-native challengers entered deal origination and valuation.

Financial Services

Margin erosion, a $124 trillion wealth transfer, and large institutions pulling away with AI.

Professional Services

AI is compressing the work that fills billable hours. The business model is under structural threat.

Healthcare

4.6 million workers leaving this decade. Demand accelerating. The choice: AI operating model or workforce-constrained growth.

The Four Personas

Four distinct personas inhabit every engagement. Each has a different relationship to AI, a different stake in the outcome, and a different arc through the programme. A fifth dimension runs beneath all four: the identity arc from AI user to institutional architect.

SponsorChampionFunctional LeaderSceptic
Primary motivationCompetitive advantageInternal recognitionFunctional relevanceAvoiding wasted effort
Main fearFalling behind competitorsProgramme failing publiclyIrrelevance in an AI worldAnother initiative that does not stick
Key momentAnchor Workshop 1Week 1: clean launchWeek 3–4: first use caseWeek 9: first prototype
Win conditionDeliverables accumulating; prototype livePositioned as transformation architectOwns tools and workflows for their functionBecomes the governance champion
Persona 01

The Sponsor

"I know this is important. I just need to know how to make it real."

Role: CEO, Founder-CEO, Managing Director. Economic buyer and executive sponsor. Present at all anchor workshops.

Holds budget authority and sets the organisational mandate. They have been watching AI reshape adjacent industries and feel the competitive pressure personally. Operators and strategists who understand AI is an operating model question, even without the framework to act on it.

The Arc: From strategic sponsor to strategic author. The person whose organisation holds 28 deliverables, a running governance framework and two live AI workflows.

Persona 02

The Champion

"I have been trying to get traction on this for months. I need something that actually moves the organisation."

Role: COO, Chief of Staff, Strategy Director, CDO. Internal programme owner. Manages logistics, maintains momentum, primary contact for setmode.

The person who brings setmode in. They have watched AI adoption happen in fragments and been frustrated by the absence of a system. They want to be the person who finally moved the organisation. The programme's success is personally important to them.

The Arc: From coordinator to institutional architect. The distinction matters. The Champion must end as the person who designed the system the organisation now runs.

Persona 03

The Functional Leader

"I am open to this, but I need to see how it actually applies to my work."

Role: CFO, CMO, CHRO, CTO, Head of Sales, Head of Operations, Head of Product. Core cohort participant. Attends all sessions. Produces function-specific artifacts.

The largest and most varied persona. Engagement is directly proportional to how clearly they can see relevance to their function. Three sub-types: The Enthusiast (marketing, product; wants to go faster), The Pragmatist (operations, finance; needs ROI case first), The Anxious (HR, compliance; worried about workforce implications).

The Arc: From AI user to AI owner for their function. A CFO with an AI-enabled financial planning workflow is different from a CFO who attended an AI programme.

Persona 04

The Sceptic

"We have done this before. It was called digital transformation. And the one before that was agile. And before that it was design thinking."

Role: Could be any senior leader: often a tenured CFO, COO or long-serving functional head. Participant, but a resistor.

The Sceptic is for durability. What they resist is initiatives that consume leadership attention and produce nothing durable. They are the custodian of organisational cynicism, and that cynicism carries real institutional intelligence. If the programme earns their engagement, they become its most credible internal advocates.

The Arc: The most consequential in the room. From principled resistor to governance champion. The scepticism is redirected. A Sceptic who completes the arc brings more institutional authority to the AI operating model than any enthusiast could.

Detailed empathy maps (Think/Feel, Hear, See, Say/Do, Pains, Gains) and facilitation design implications for each persona are maintained internally.

What Good Looks Like

A qualified prospect will say some version of these things:

"We have got people using AI everywhere but it is not consistent, and I cannot see it in our output."
"We need to get the leadership team aligned on AI before we start throwing money at tools."
"We have tried a couple of things and nothing has stuck at scale."
"Our competitors are moving and I do not have a plan yet."
"I know AI is important but I do not know how to build it into how we actually operate."
04 · Voice

How setmode speaks

The writing standards, the four qualities, the three registers, and the controlled vocabulary. These are the rules.

The Two Rules

Rule One: Write from the affirmative. Always.

State identity by declaration, not by contrast. The words "not" and "no" signal that a rewrite is required. The affirmative form is always available. Find it.

Rule Two: Remove all em dashes.

An em dash in setmode writing is always wrong. Every context. Write two sentences. Use a colon.

The Voice: Calm Authority

Authority comes from clear reasoning and grounded evidence. Calm is the absence of effort. If a sentence feels like it is reaching for drama, the writing has become effortful. A CEO encountering this voice feels understood.

Data-driven

Every significant claim rests on research. "74% of organisations report AI investments that underperformed expectations" earns the right to be said. "Organisations are struggling with AI" requires a rewrite.

Systems-minded

The observation is always "this happens because of how this is designed." Poor AI results are a design problem. The writing names the design. The symptom follows.

Human-centred

Every structural observation ultimately lands on a person. The CEO making decisions under uncertainty. The manager whose governance function has been dissolved without replacement.

The Four Qualities

Grounded

Write what is observably true. A claim survives if a sceptical reader can ask "how do you know that?" and the answer is in the sentence.

Reasoned

The thinking is visible. One observation leads to the next. The reader can follow the line of thought without effort.

Precise

Numbers over adjectives. "28 deliverables" over "a comprehensive set of outputs." Specific verbs: "redesigns", "deploys", "governs" over "enables", "drives", "supports."

Human

The writing addresses the specific person reading it. It acknowledges their reality before presenting the framework. The writer's point of view is present.

The Three Registers

Compact Register

Website, LinkedIn, module headers, session openings. Short constructions, active verbs, direct address.

"The programme produces 28 deliverables. Every module builds something the organisation keeps."

Strategic Register

Proposals, strategic documents, Perspectives. Full paragraphs, complete sentences, controlled subordinate clauses. Visible reasoning.

"The gap between available AI capability and current operating practice is the natural state of an organisation that has made the right decisions in sequence: first the commitment, then the tools, now the operating model."

Facilitator Register

Academy content, system messages, Pierre-to-facilitator communication. Peer-to-peer with earned authority. Pierre is the methodology author; the facilitator is the domain expert.

Avoid: training-platform language ("learning objectives", "key takeaways"), patronising framings ("you will learn"), corporate L&D tone.

Altitude

setmode writes at the level the reader operates. The reader is a CEO. Business outcomes, competitive position and organisational capability. A sentence that opens with a software product name before establishing a business reality has signalled the wrong register. Tools are evidence. They appear inside reasoning to ground a claim. They are never the opening observation.

The test: could this sentence appear in a board paper?

Posture

The reader already knows. A CEO who has initiated a conversation about an AI operating model has already diagnosed the gap. The writing confirms their diagnosis and presents the path through it. The tone is: you see this clearly; here is how we move through it.

Frame gaps as situations. Frame the programme's outcome as accumulation. What each person designs and builds, the organisation retains and compounds. Individuals and institution both grow.

The brand never describes its own rigour, craft, or care. The work demonstrates these. A sentence that asks the reader to notice how well something was built is a sentence that doubts whether they will. The brand does not narrate its own structure, claim its effects on the reader, or name what it aspires to become. It presents. The reader draws conclusions.

Sentence Structure

Two devices govern how setmode sentences land. Both are structural, not decorative. The reader feels the shape before they parse the meaning, and the shape is the argument.

Antithetical parallelism

Two ideas in matching grammatical form, set against each other. The structure does the persuading. The reader holds both halves at once and the contrast resolves on its own. Used to define identity by placing the wrong frame against the right one, and to compress reasoning into a shape that survives a single reading.

"Authority comes from clear reasoning. Calm is the absence of effort."
"Tools are evidence. They are never the opening observation."

Anaphora

The same opening word or phrase repeated across consecutive sentences or clauses. Repetition is structural, not stylistic. It tells the reader the items belong to one category and accumulate to one conclusion. Reserved for moments where a list needs to land as a single thought.

"What each person designs, the organisation retains. What each person builds, the organisation compounds."
"Every module produces a deliverable. Every deliverable enters the operating model. Every operating model compounds."

British English

Spelling
-ise (organise, institutionalise), -our (behaviour, colour), -re (centre), programme (always). "While" over "whilst".
Contractions
Remove from formal content. "Do not", "it is", "they are" in full. Contractions acceptable in direct speech only.
Punctuation
No em dashes. No Oxford comma (except where absence creates ambiguity). No ellipses in formal content.
Numbers
Numerals for specific figures (12 modules, 28 deliverables). Words for approximate quantities ("three key principles"). Percentages: 40% in body text, "per cent" in formal documents.

Controlled Vocabulary

Language is structural. This vocabulary is the standard.

AI Operating Model
The structured, governed, compounding architecture through which an organisation embeds AI into how it works.
Never: AI strategy, AI transformation, AI initiative
The Programme
A single, configured 12-week engagement. 12 modules. 4 anchor workshops. 28 deliverables.
Never: the course, the training, the workshop series
Module
The fundamental building block. A bounded unit of work defined by the deliverable it produces. Internal design term.
Session
The live event. The organisation's experience of the programme.
Never: class, lesson, lecture, call, meeting
Deliverable
Any concrete, reviewable output produced by a module. 28 across seven categories.
Anchor Workshop
The four intensive sessions marking major phase transitions. Require CEO presence.
Never: intensives, deep dives, masterclasses
Compounding
The accumulation of value that increases over time. The most important word in the setmode vocabulary.
Never substitute: scaling (alone), growing, multiplying
Cohort
Retired 2026-05-27. Use participants, Members, the Value Streams, the room, alumni, or the programme depending on context.
Replaced. Was previously "the group of senior leaders in a single engagement"; that meaning is now carried by the more specific words above.
Facilitator
The setmode practitioner running the programme.
Never: trainer, instructor, coach, consultant
Entities and Relationships
Client
A persistent organisational relationship. Survives across multiple engagements.
Engagement
A time-bounded programme instance. Begins in Discovery, moves to Active, reaches Complete at commissioning.
Contact
A person at a client organisation. Client-level, persists across engagements. Holds CRM role classification.
Persona
Facilitation intelligence about a contact within a specific engagement. Engagement-scoped. Each engagement starts fresh.
Performance and Outcomes
Organisational Throughput
The rate at which the organisation produces value. Distinct from individual productivity.
Institutional Capability
The collective ability of the organisation. Distinct from the individual capability of specific people.
Point Solution
A tool or initiative that solves a specific problem in isolation, without connecting to a broader system. Used diagnostically.
People and Roles
Sponsor
The economic buyer. Always the CEO or equivalent. Signs the Founding Statement. One per engagement.
Previously "Authoriser" in internal docs. "Sponsor" is the canonical system role.
Work Stream
A participant's functional home from programme start. Where they sit in the organisation. Each Work Stream has one Champion and many Participants. Work Stream survives the M04 pivot but stops being surfaced to participants from M04 onward; the Value Stream becomes the unit of attention.
Never: functional silo, team, department (as a participant-facing label). Always two words, both capitalised.
Champion
The Work Stream lead. A functional leader inside their organisational home. Stays the post-programme owner of the AI operating model after commissioning. One Champion per Work Stream.
Never the same as Captain. Captain leads a Value Stream; Champion leads a Work Stream. The two are distinct roles.
Value Stream
A participant's cross-functional team for the programme, assigned at M04 lock (D05 commit). The unit of attention for every deliverable, workflow, prototype and lock from M05 onward. One Value Stream per participant. Each Value Stream has one Captain and many Members.
Never: process, workflow, pipeline, journey, operating group. Always two words, both capitalised.
Captain
The Value Stream lead. Named, accountable, holds lock authority on the Value Stream's deliverables. Exactly one Captain per Value Stream — enforced at the database level by a partial unique index on value_stream_memberships.
Never: lead, owner, manager, head. Never the same as Champion. Captain is the Value Stream role; Champion is the Work Stream role.
Member
A participant inside a Value Stream from M04 lock onward. Always capitalised, in every context, including quantitative ("five Members"). The role label and the count noun take the same form.
Never lowercase. Never "team member" when "Member" is the meant role.
Functional Leader
A senior leader accountable for a specific organisational function, participating in the programme.
The Sceptic
A facilitation archetype. Used in facilitation guides and internal documents only.
AI Tools and Techniques
AI Workflow
A repeatable sequence of steps in which AI tools perform specific tasks, connected to human decision points.
Working Prototype
A functional AI workflow deployed in real operations. The programme produces two.
Prompt Library
The living collection of AI prompts, templates and techniques. Runs continuously from Session 1.
Never: prompt list, prompt bank, AI cheat sheet
Agent
An AI system configured to perform multi-step tasks autonomously. Used precisely.

The Banned List

Banned
Use Instead
AI transformation (generic)
AI Operating Model
AI journey
Programme, operating model development
Training programme
The programme
Best practices
Proven approaches, tested frameworks
Change management
Capability building, institutionalisation
Future-ready
Specific outcomes named
Holistic
Name the specific elements
Unlock potential
Describe the specific capability
Leverage synergies
Describe the specific benefit
Game-changer
Describe the specific change
Cohort
Participants, Members, the Value Streams, the room, alumni, the programme
value stream / value-stream / work stream / work-stream (lowercase)
Value Stream, Work Stream (both words capitalised, two words)
captain, member, members (lowercase, as role labels)
Captain, Member, Members
Champion (used as a Value Stream lead)
Captain. Champion is the Work Stream lead; Captain leads a Value Stream.
Scaling (alone)
Compounding, institutionalising

Language in Context

In a Sales Conversation

"The programme produces 28 deliverables across seven categories, including two working prototypes in live operations and a governance framework the CEO signs off on."
"We'll help your team leverage AI tools to transform how you work."

In a Session

"Last session you produced the AI Data Map. This session we use it to select the Value Stream we will redesign across the Build phase."
"So we talked about your AI readiness last week, now let's look at your processes."

In an Assignment Brief

"Map the AI tools currently in use, the data sources available and the three highest-frequency manual workflows. Deliverable: AI Tool Landscape Assessment. Estimated time: 90 minutes."
"This week, explore how AI could help with your daily tasks. Feel free to try out some tools!"
05 · Visual System

How setmode looks

The complete design system: colour architecture, typography, spacing, components, and interaction patterns.

Two-Tier Colour Architecture

Tier 1, Identity

Mulberry is who setmode is. CTAs, links, focus states, the logo mark, anchor workshops, blockquote accents.

Tier 2, Programme Structure

Sage / Clay / Slate encode where in the programme the viewer is. Phase colours answer "where are we?" and carry no brand-identity function.

Canvas

#F8F5F0
--canvas
Base Canvas
Warm parchment. Quality uncoated paper.
#FFFFFF
--surface
Surface
Clean white. Content containers.
#F0EDE6
--surface-hi
Alt / Elevated Surface
Warmer ground. Alternating sections, hover states, elevated cards. (Alias: --surface-alt.)
#D9D5CD
--border
Border
Warm grey. Visible but quiet.
#E8E5DE
--divider
Divider
Subtle separations.

Text

#2C2824
--text
Primary
Warm near-black. Good ink on paper.
#6B6560
--text-2
Secondary
#6B635B
--text-3
Muted / Meta

Identity Colour

#70384E
--mulberry
Mulberry
Deep berry. Institutional gravitas with warmth.
#EEE7EA
--mulberry-tint
Mulberry Tint
12% wash for accent cards.
#5C2E40
--mulberry-hover
Hover (retiring)
No longer used in chrome. Retained for legacy consumers pending surface-by-surface migration.
#6B47D9
--wordmark-reserve
Wordmark reserve (alias of --setmode-primary)
Identity purple. From the approved Setmode logo kit (see docs/logo-guideline.md). Used only by the logomark glyph, never as chrome.
#6B47D9
--setmode-primary
Setmode primary
The mark colour. Used by the kit SVGs at microsite/brand/v1/.
#F5F1E8
--setmode-paper
Setmode paper
Warm off-white. The wordmark colour on dark surfaces, per the kit guideline.
#3D3833
--setmode-ink
Setmode ink (soft)
Warm soft-ink. The wordmark colour on light surfaces, per the kit guideline. Softer than near-black for editorial feel.

No chrome accent. Setmode runs three colour systems already (Phase cool slate, Category warm badges, semantic states). A fourth chrome accent would compete with all three for attention. Active states, sidebar highlights, focus rings, breadcrumb current-page indicators and similar interactive states use neutral white at opacity on dark, or neutral warm charcoal at opacity on cream. Mulberry is no longer chrome. Mulberry is the wordmark colour and nothing else.

Phase Accent Colours

#4E6E4A
--sage
Sage · Align
Dried herb on a linen shelf.
#855B4B
--clay
Clay · Build
Fired ceramic.
#4F5E68
--slate
Slate · Execute
Dressed stone.
#7A7670
--pewter
Pewter · Ongoing
Metal hardware in a timber room.
#4C644A
--sage-deep
Sage Deep
Text-safe sage.
#EDF0EC
--sage-tint
Sage Tint
12% wash background.
#735245
--clay-deep
Clay Deep
Text-safe clay.
#F3EDEB
--clay-tint
Clay Tint
12% wash background.
#48535B
--slate-deep
Slate Deep
Text-safe slate.
#ECEEEF
--slate-tint
Slate Tint
12% wash background.

Phase Colour Registers

Standard (fills, borders) · Deep (text-safe) · Tint (12% wash backgrounds).

Sage · Align
Standard
#4E6E4A
Deep
#4C644A
Tint
#EDF0EC
Clay · Build
Standard
#855B4B
Deep
#735245
Tint
#F3EDEB
Slate · Execute
Standard
#4F5E68
Deep
#48535B
Tint
#ECEEEF

Phase Palette · Cool Slate (Dark Rebuild)

The new Phase palette is cool slate, used in page chrome, breadcrumbs, progress indicators, footer Phase markers. Never as content fills. Cool against the warm canvas creates instrument-vs-room contrast. Three steps per register; Execute is the most settled tone on dark and the most pronounced on cream. The perceptual flip across modes is correct, not a bug.

#B8C3D0
--phase-align-dark
Align · dark
10.5:1 on canvas-dark (AAA).
#8A95A3
--phase-build-dark
Build · dark
6.2:1 on canvas-dark (AA text).
#727E8C
--phase-execute-dark
Execute · dark
4.6:1 on canvas-dark (AA text). Least luminous; most settled.
#5A6878
--phase-align-cream
Align · cream
5.2:1 on canvas-cream (AA text).
#3D4856
--phase-build-cream
Build · cream
8.6:1 on canvas-cream (AAA).
#2D3848
--phase-execute-cream
Execute · cream
10.9:1 on canvas-cream (AAA). Most pronounced; most luminous.

Legacy warm Phase tokens (--sage, --clay, --slate, --pewter) stay in this section above for backward compatibility while ~943 component selectors migrate. Retirement queues as a separate kill.

Category Palette · Warm Badges (Dark Rebuild)

Seven hues for the 7 Categories. Used as small filled chips on deliverables, filter pills, and content classification. Warm because category names label content; cool was reserved for system signals (Phase indicators, info). Calibrated for badge use; all pairings pass WCAG AA at 14px+ against the matched register canvas.

#4A6890
--cat-strategy-dark
Strategy & Alignment · dark
Muted slate blue.
#B8C8DE
--cat-strategy-cream
Strategy & Alignment · cream
#3F706B
--cat-workflow-dark
Workflow & Process · dark
Restrained teal.
#B0CBC8
--cat-workflow-cream
Workflow & Process · cream
#8F671E
--cat-tooling-dark
Tooling & Prototyping · dark
Deep brass amber.
#E8C796
--cat-tooling-cream
Tooling & Prototyping · cream
#803F44
--cat-governance-dark
Governance & Risk · dark
Aged brick red.
#D8B0B3
--cat-governance-cream
Governance & Risk · cream
#4D6B30
--cat-measurement-dark
Measurement & Value · dark
Ledger sage.
#C2D3A6
--cat-measurement-cream
Measurement & Value · cream
#5F4567
--cat-rhythm-dark
Operating Rhythm & Scaling · dark
Dusty mauve.
#C4B0CA
--cat-rhythm-cream
Operating Rhythm & Scaling · cream
#8F4A3D
--cat-change-dark
Change Enablement · dark
Warm terracotta.
#E2B8AC
--cat-change-cream
Change Enablement · cream

Badge text colour is --text-high-dark on dark badges and --text-high-cream on cream badges. All 14 pairings verified WCAG AA at 14px+.

Semantic States

#347048
--state-complete
Complete
Forest green. Distinct from Sage.
#BDB8B0
--state-upcoming
Upcoming
Sand. "Not yet" without disappearing.
#C0392B
--danger
Danger / Error
Warning red. Destructive actions, validation errors, blocking issues. Use sparingly.
#8A6810
--amber
Burnished Amber
Reserve accent. Reserved for synthesis-surface highlights and the amber-tint wash. Not for everyday UI.
10% wash
--amber-tint
Amber Tint
10% amber wash. Highlight background for synthesis summaries.

Warm-shifted state palette (Dark Rebuild)

Five states, each with a dark- and cream-register variant. Warm-shifted so they sit naturally on the warm canvas. Info shares hexes with the Execute Phase by design, both are system signals. Existing --state-complete, --danger, --amber tokens above stay in place; component-level migration to the new tokens queues separately.

#4A9355
--success-dark
Success · dark
Completed, approved, signed, published.
#1E5A2E
--success-cream
Success · cream
#C19340
--warning-dark
Warning · dark
At risk, threshold approaching, draft.
#8B6818
--warning-cream
Warning · cream
#D04E3D
--critical-dark
Critical · dark
Escalation, breach, hard stop.
#8E2E22
--critical-cream
Critical · cream
#8F8475
--terminated-dark
Terminated · dark
Archived, deprecated, withdrawn.
#6B6356
--terminated-cream
Terminated · cream
#727E8C
--info-dark
Info · dark
System notice, informational, AI-generated. Same hex as --phase-execute-dark.
#3D4856
--info-cream
Info · cream
Same hex as --phase-build-cream.

Dark Register

setmode operates in the dark register: marketing site, brand book, workspace app, academy. The dark register holds the chrome of every environment setmode runs in. Deliverables setmode produces and hands over (slides, proposals, briefs, reports) stay in the cream register. Tones here are cool neutral, near-black and charcoal, not warm-brown. The contrast across registers is intentional: cool instrument inside a warm artefact world.

Dark canvas, surface, elevated

#16181B
--canvas-dark
Canvas
Charcoal canvas. The recommended dark background from the Setmode logo guideline. Neutral with the faintest cool tint, no brown.
#1F1F23
--surface-dark
Surface
Mid charcoal. Cards and panels lift visibly from the canvas without contrast shock.
#2B2B30
--elevated-dark
Elevated
Light charcoal. Modals, popovers, command palettes.

Dark borders

6% wash
--border-subtle-dark
Subtle
Neutral white wash. Internal separations.
#3F3F46
--border-default-dark
Default
Cool graphite. Standard panel and input borders.
#52525B
--border-strong-dark
Strong
Strongest structural division. Use sparingly.

Dark text

#FAFAFA
--text-high-dark
High
Pure off-white. Primary copy.
#A1A1AA
--text-mid-dark
Mid
Cool zinc grey. Secondary copy.
#71717A
--text-low-dark
Low
Mid zinc. Tertiary copy and metadata.
#52525B
--text-faint-dark
Faint
Deep zinc. Hints, disabled, very quiet copy.

Cream canvas, surface, elevated (paired with dark register)

The cream tokens below are siblings of the dark tokens above. Each pair binds to the same semantic alias under the appropriate [data-theme] selector. --canvas-cream matches the existing --canvas; the explicit suffixed name exists so the mode-mirror reads cleanly in the SSOT.

#F8F5F0
--canvas-cream
Canvas
Warm parchment. Mirror of --canvas-dark.
#FFFFFF
--surface-cream
Surface
Clean white. Cards on slides.
#FCFAF6
--elevated-cream
Elevated
Slight off-white. Modals and overlays on cream.

Cream borders

6% wash
--border-subtle-cream
Subtle
#D8D0C5
--border-default-cream
Default
#B8B0A4
--border-strong-cream
Strong

Cream text

#14110D
--text-high-cream
High
Inverse of --canvas-dark. Deepest tone.
#524A3F
--text-mid-cream
Mid
Same hex as --text-faint-dark. Mode-mirror.
#7D7568
--text-low-cream
Low
Same hex as --text-low-dark. Plays a low-attention role in both registers.
#B8B0A4
--text-faint-cream
Faint
Same hex as --text-mid-dark. Mode-mirror.

Mode binding

The system law. Dark register is where setmode operates. Cream register is what setmode produces and hands over. Environments declare data-theme="dark" on the html element. Deliverables declare data-theme="cream" or omit the attribute, since cream is the default. Each row below binds one --mode-* alias to its register-specific source token. The build script reads these rows and emits the matching [data-theme] blocks in brand.css.

ThemeAliasSource token
cream--canvas--canvas-cream
cream--surface--surface-cream
cream--surface-hi--elevated-cream
cream--border--border-default-cream
cream--divider--border-subtle-cream
cream--text--text-high-cream
cream--text-2--text-mid-cream
cream--text-3--text-low-cream
cream--mode-canvas--canvas-cream
cream--mode-surface--surface-cream
cream--mode-elevated--elevated-cream
cream--mode-border-subtle--border-subtle-cream
cream--mode-border--border-default-cream
cream--mode-border-strong--border-strong-cream
cream--mode-text-high--text-high-cream
cream--mode-text-mid--text-mid-cream
cream--mode-text-low--text-low-cream
cream--mode-text-faint--text-faint-cream
cream--mode-phase-align--phase-align-cream
cream--mode-phase-build--phase-build-cream
cream--mode-phase-execute--phase-execute-cream
cream--mode-cat-strategy--cat-strategy-cream
cream--mode-cat-workflow--cat-workflow-cream
cream--mode-cat-tooling--cat-tooling-cream
cream--mode-cat-governance--cat-governance-cream
cream--mode-cat-measurement--cat-measurement-cream
cream--mode-cat-rhythm--cat-rhythm-cream
cream--mode-cat-change--cat-change-cream
cream--mode-success--success-cream
cream--mode-warning--warning-cream
cream--mode-critical--critical-cream
cream--mode-terminated--terminated-cream
cream--mode-info--info-cream
dark--canvas--canvas-dark
dark--surface--surface-dark
dark--surface-hi--elevated-dark
dark--border--border-default-dark
dark--divider--border-subtle-dark
dark--text--text-high-dark
dark--text-2--text-mid-dark
dark--text-3--text-low-dark
dark--mode-canvas--canvas-dark
dark--mode-surface--surface-dark
dark--mode-elevated--elevated-dark
dark--mode-border-subtle--border-subtle-dark
dark--mode-border--border-default-dark
dark--mode-border-strong--border-strong-dark
dark--mode-text-high--text-high-dark
dark--mode-text-mid--text-mid-dark
dark--mode-text-low--text-low-dark
dark--mode-text-faint--text-faint-dark
dark--mode-phase-align--phase-align-dark
dark--mode-phase-build--phase-build-dark
dark--mode-phase-execute--phase-execute-dark
dark--mode-cat-strategy--cat-strategy-dark
dark--mode-cat-workflow--cat-workflow-dark
dark--mode-cat-tooling--cat-tooling-dark
dark--mode-cat-governance--cat-governance-dark
dark--mode-cat-measurement--cat-measurement-dark
dark--mode-cat-rhythm--cat-rhythm-dark
dark--mode-cat-change--cat-change-dark
dark--mode-success--success-dark
dark--mode-warning--warning-dark
dark--mode-critical--critical-dark
dark--mode-terminated--terminated-dark
dark--mode-info--info-dark

Tonal Scales (Foundation)

Underneath every role token in the dark and cream registers is a tonal scale. Each palette family has nine steps from lightest tint (step 1) to deepest shade (step 9). The role tokens above (canvas, surface, text-high, the Phase/Category/State variants) are positions within these scales. The scales are the foundation; the roles are the consumer-facing API. When a surface needs a tonal step that the existing roles do not name, pick from the scale directly.

Neutral scale (cool zinc, the dark register foundation)

Hand-anchored to the existing dark register values so canvas, surface, text remain identical to today.

#FAFAFA
--neutral-1
neutral-1
#E4E4E7
--neutral-2
neutral-2
#A1A1AA
--neutral-3
neutral-3
#71717A
--neutral-4
neutral-4
#52525B
--neutral-5
neutral-5
#3F3F46
--neutral-6
neutral-6
#2B2B30
--neutral-7
neutral-7
#1F1F23
--neutral-8
neutral-8
#16181B
--neutral-9
neutral-9

Identity scale

Identity purple. The wordmark mark colour.

#F7F6F9
--identity-1
identity-1
#E8E5F1
--identity-2
identity-2
#C7BDE5
--identity-3
identity-3
#9680DB
--identity-4
identity-4
#6B47D9
--identity-5
identity-5
#4423A9
--identity-6
identity-6
#331A7F
--identity-7
identity-7
#241551
--identity-8
identity-8
#17102E
--identity-9
identity-9

Phase Align scale

Phase Align cool slate.

#F7F7F8
--phase-align-1
phase-align-1
#E9EBEC
--phase-align-2
phase-align-2
#CDD1D5
--phase-align-3
phase-align-3
#A3ADB7
--phase-align-4
phase-align-4
#5A6878
--phase-align-5
phase-align-5
#576575
--phase-align-6
phase-align-6
#424C57
--phase-align-7
phase-align-7
#2C333A
--phase-align-8
phase-align-8
#1B1E22
--phase-align-9
phase-align-9

Phase Build scale

Phase Build deeper slate.

#F7F7F8
--phase-build-1
phase-build-1
#E9EAEC
--phase-build-2
phase-build-2
#CCD0D6
--phase-build-3
phase-build-3
#A2ACB9
--phase-build-4
phase-build-4
#3D4856
--phase-build-5
phase-build-5
#556477
--phase-build-6
phase-build-6
#3F4B5A
--phase-build-7
phase-build-7
#2B323B
--phase-build-8
phase-build-8
#1B1E23
--phase-build-9
phase-build-9

Phase Execute scale

Phase Execute deepest slate.

#F7F7F8
--phase-execute-1
phase-execute-1
#E8EAED
--phase-execute-2
phase-execute-2
#CAD0D8
--phase-execute-3
phase-execute-3
#9DAABD
--phase-execute-4
phase-execute-4
#2D3848
--phase-execute-5
phase-execute-5
#4E627E
--phase-execute-6
phase-execute-6
#3B495E
--phase-execute-7
phase-execute-7
#28313E
--phase-execute-8
phase-execute-8
#191E24
--phase-execute-9
phase-execute-9

Category: Strategy scale

Strategy & Alignment muted slate blue.

#F7F7F8
--cat-strategy-1
cat-strategy-1
#E8EAEE
--cat-strategy-2
cat-strategy-2
#C8D0DB
--cat-strategy-3
cat-strategy-3
#97AAC4
--cat-strategy-4
cat-strategy-4
#4A6890
--cat-strategy-5
cat-strategy-5
#456187
--cat-strategy-6
cat-strategy-6
#344965
--cat-strategy-7
cat-strategy-7
#243142
--cat-strategy-8
cat-strategy-8
#171E26
--cat-strategy-9
cat-strategy-9

Category: Workflow scale

Workflow & Process restrained teal.

#F7F8F8
--cat-workflow-1
cat-workflow-1
#E8EDED
--cat-workflow-2
cat-workflow-2
#C9D9D8
--cat-workflow-3
cat-workflow-3
#9AC1BD
--cat-workflow-4
cat-workflow-4
#3F706B
--cat-workflow-5
cat-workflow-5
#49837D
--cat-workflow-6
cat-workflow-6
#37625E
--cat-workflow-7
cat-workflow-7
#26403D
--cat-workflow-8
cat-workflow-8
#182524
--cat-workflow-9
cat-workflow-9

Category: Tooling scale

Tooling & Prototyping deep brass amber.

#F9F8F6
--cat-tooling-1
cat-tooling-1
#F1ECE5
--cat-tooling-2
cat-tooling-2
#E5D7BE
--cat-tooling-3
cat-tooling-3
#DBBB80
--cat-tooling-4
cat-tooling-4
#8F671E
--cat-tooling-5
cat-tooling-5
#A97923
--cat-tooling-6
cat-tooling-6
#7E5B1B
--cat-tooling-7
cat-tooling-7
#513C15
--cat-tooling-8
cat-tooling-8
#2E2310
--cat-tooling-9
cat-tooling-9

Category: Governance scale

Governance & Risk aged brick red.

#F8F7F7
--cat-governance-1
cat-governance-1
#EEE7E8
--cat-governance-2
cat-governance-2
#DBC7C9
--cat-governance-3
cat-governance-3
#C59699
--cat-governance-4
cat-governance-4
#803F44
--cat-governance-5
cat-governance-5
#894349
--cat-governance-6
cat-governance-6
#673236
--cat-governance-7
cat-governance-7
#432326
--cat-governance-8
cat-governance-8
#261718
--cat-governance-9
cat-governance-9

Category: Measurement scale

Measurement & Value ledger sage.

#F7F8F7
--cat-measurement-1
cat-measurement-1
#EBEEE7
--cat-measurement-2
cat-measurement-2
#D1DCC6
--cat-measurement-3
cat-measurement-3
#ADC893
--cat-measurement-4
cat-measurement-4
#4D6B30
--cat-measurement-5
cat-measurement-5
#658D3F
--cat-measurement-6
cat-measurement-6
#4C6A2F
--cat-measurement-7
cat-measurement-7
#334422
--cat-measurement-8
cat-measurement-8
#1E2716
--cat-measurement-9
cat-measurement-9

Category: Rhythm scale

Operating Rhythm & Scaling dusty mauve.

#F8F7F8
--cat-rhythm-1
cat-rhythm-1
#ECE9EC
--cat-rhythm-2
cat-rhythm-2
#D4CBD7
--cat-rhythm-3
cat-rhythm-3
#B5A0BB
--cat-rhythm-4
cat-rhythm-4
#5F4567
--cat-rhythm-5
cat-rhythm-5
#71527A
--cat-rhythm-6
cat-rhythm-6
#553D5C
--cat-rhythm-7
cat-rhythm-7
#382A3C
--cat-rhythm-8
cat-rhythm-8
#211A23
--cat-rhythm-9
cat-rhythm-9

Category: Change scale

Change Enablement warm terracotta.

#F8F7F7
--cat-change-1
cat-change-1
#EEE8E7
--cat-change-2
cat-change-2
#DDC9C5
--cat-change-3
cat-change-3
#C99A92
--cat-change-4
cat-change-4
#8F4A3D
--cat-change-5
cat-change-5
#8F4A3D
--cat-change-6
cat-change-6
#6B382E
--cat-change-7
cat-change-7
#452621
--cat-change-8
cat-change-8
#281815
--cat-change-9
cat-change-9

Success scale

Success state.

#F7F8F7
--success-1
success-1
#E8EEE8
--success-2
success-2
#C7DBCA
--success-3
success-3
#96C49D
--success-4
success-4
#4A9355
--success-5
success-5
#44884E
--success-6
success-6
#33663B
--success-7
success-7
#244228
--success-8
success-8
#172619
--success-9
success-9

Warning scale

Warning state.

#F8F8F6
--warning-1
warning-1
#EFECE6
--warning-2
warning-2
#E0D5C2
--warning-3
warning-3
#D1B88A
--warning-4
warning-4
#C19340
--warning-5
warning-5
#9A7532
--warning-6
warning-6
#745825
--warning-7
warning-7
#4A3A1C
--warning-8
warning-8
#2A2213
--warning-9
warning-9

Critical scale

Critical state.

#F9F6F6
--critical-1
critical-1
#F0E6E5
--critical-2
critical-2
#E3C3BF
--critical-3
critical-3
#D88D83
--critical-4
critical-4
#D04E3D
--critical-5
critical-5
#A43628
--critical-6
critical-6
#7B291E
--critical-7
critical-7
#4F1D17
--critical-8
critical-8
#2D1411
--critical-9
critical-9

Terminated scale

Terminated state.

#F8F7F7
--terminated-1
terminated-1
#ECEBEA
--terminated-2
terminated-2
#D4D2CE
--terminated-3
terminated-3
#B5AFA6
--terminated-4
terminated-4
#8F8475
--terminated-5
terminated-5
#71685B
--terminated-6
terminated-6
#544E45
--terminated-7
terminated-7
#38342E
--terminated-8
terminated-8
#211F1C
--terminated-9
terminated-9

Info scale

Info state.

#F7F7F8
--info-1
info-1
#EAEBEC
--info-2
info-2
#CED1D4
--info-3
info-3
#A6ADB4
--info-4
info-4
#727E8C
--info-5
info-5
#5C6570
--info-6
info-6
#454C54
--info-7
info-7
#2E3338
--info-8
info-8
#1C1E21
--info-9
info-9

Legacy dark-callout tokens (retiring)

Used by the .dark-ground callout block and the framework.dark single-question layout. Surgical dark-on-cream usage that predated the full dark register. Slated for retirement once those callouts migrate to --canvas-dark and the theme-scoped aliases.

#242628
--dark-ground
Dark Ground (legacy)
#3A3C42
--dark-border
Dark Border (legacy)
#353840
--dark-divider
Dark Divider (legacy)

Print-Register Tokens

Used by generated document templates. setmode is 99% screen, these exist as compatibility tokens, not a separate brand context.

#4A4A4A
--text-secondary
Secondary text (print)
#8A8A8A
--text-muted
Muted text (print)
#F9F9F9
--alt-row
Alt row (print)
Zebra-stripe table background.

Accent Rules

ContextActive AccentRationale
Marketing site hero, nav, CTAMulberryBrand-level. Not inside the programme yet.
Marketing site curriculumTriadProgramme structure. Phase colours carry meaning.
Workspace module (Build)Clay onlySingle active phase. Others recede.
Workspace CTAMulberryAction buttons always Mulberry.
Proposal / document+ triadBrand frames; phase inside programme content.
Email / socialMulberry onlyPure brand context.

Typography

Gelasio sets the tone. Inter does the work. The H3 handoff: Gelasio for Display through H2 (22px+). Inter 600 for H3 and below.

The AI Operating Model
Display
Gelasio 500 · 36–44px
Line height: 1.2
Programme Architecture
H1, Section
Gelasio 500 · 28–32px
Line height: 1.25
Twelve Modules, Twenty-Eight Deliverables
H2, Subsection
Gelasio 500 · 22–24px
Line height: 1.3
Governance Framework
← H3 handoff: Inter takes over
H3, Card / Item
Inter 600 · 16–18px
Line height: 1.35
Deliverable Category
H4, Label
Inter 600 · 14–15px
Each module produces institutional deliverables that accumulate into a complete AI operating model. What each person builds, the organisation retains.
Body
Inter 400 · 15px · 1.6 lh
Emphasis: 600 (never italic)
Reading system: 18px · 1.65 lh
M01   M02   WK 07   D-14   9 / 28
Data
Inter tabular-nums
No separate monospace

Maximum weight: 600. No Bold (700). The wordmark is Gelasio 500. Headings match. Print uses Century Gothic.

Font-family tokens

Aa
--r
Sans (body + UI)
'Inter', 'Helvetica Neue', sans-serif.
Aa
--r-serif
Serif (display + headings)
'Gelasio', Georgia, serif.
42
--r-mono
Mono (numerals)
'Geist Mono'. Financial values, dates, IDs.

Type-size scale (Dark Rebuild)

Locked 11-step size scale. Weights only 400 and 500. Italics: Gelasio italic at H1 / H2 for editorial flourish only. Display size used in the brand book cover and similar one-off display moments.

Aa
--type-display
Display · 56 / 1.1
Gelasio 400, tracking −0.02em. Brand book only.
H1
--type-h1
H1 · 40 / 1.2
Gelasio 400, tracking −0.01em. Page title.
H2
--type-h2
H2 · 32 / 1.25
Gelasio 400, tracking −0.005em. Page subtitle.
H3
--type-h3
H3 · 26 / 1.3
Inter 500. Section head.
H4
--type-h4
H4 · 22 / 1.35
Inter 500. Card title.
lead
--type-lead
Lead · 18 / 1.6
Inter 400. Lead paragraph.
body
--type-body
Body · 16 / 1.6
Inter 400. Body copy.
--type-secondary
Secondary · 14 / 1.55
Inter 400. Secondary copy.
micro
--type-micro
Micro · 12 / 1.45
Inter 400. Caption.
LABEL
--type-label
Label · 10 / 1.4 · 0.08em
Inter 500, small caps. Section label.

Spacing

XS
4px
SM
8px
MD
16px
LG
24px
XL
40px
2XL
64px
3XL
96px

Breakpoints

The five named viewport tiers used across the site. Authored as machine-readable tokens so any future change happens in one place. Note that CSS @media queries cannot interpolate variables; the literal values are written into media-query rules but must always match these tokens. The build script (scripts/build-brand-css.mjs) emits the tokens into brand.css's :root block alongside spacing and colour.

PHONE-SM
360px
PHONE
480px
TABLET
768px
DESKTOP
1024px
WIDE
1280px

Responsive primitives

The site runs on a foundation-first responsive system. Display sizes scale fluidly via clamp(), narrow viewports get a phone-tier media-query block, touch devices get bumped tap targets, and five utility classes cover the patterns that come up most. All of this lives in brand.css; pages that link brand.css inherit it. The full programme, decisions, and acceptance bar are in workspace/mobile-responsiveness-plan.md.

Fluid display sizes

Display headings and stat numbers shrink smoothly as the viewport narrows. Desktop appearance is unchanged (max value matches the previous static size). Resize this window to see the cover heading and stat numbers below scale.

Fluid cover heading
88%
.stat-number
.stat-num

Touch targets

On coarse-pointer devices (phones, tablets), every <button>, [role="button"], [role="tab"], and .btn* class is bumped to a minimum height of 44px. Desktop visuals are unaffected. Inline text anchors are deliberately excluded; nav anchors are sized per-component as each surface migrates.

Utility classes

Five opt-in classes for the patterns that come up over and over. Use these instead of writing one-off media queries in component CSS.

Class
Behaviour
.scroll-x-mobile
Wraps a wide table or grid so it scrolls horizontally when content exceeds container width. The scrollbar only appears when needed. Apply to a parent <div>, not the table itself.
.stack-mobile
At ≤480px, forces a CSS grid or flex container to single-column / column-direction.
.full-on-phone
At ≤480px, expands a fixed-width drawer or side panel to fill the viewport. Used by the workspace person panel.
.hide-mobile
Hidden at ≤480px, visible above.
.show-mobile
Visible only at ≤480px, hidden above.

Phone-tier media block

A single @media (max-width: 480px) block in brand.css applies three site-wide guarantees: inputs render at 16px minimum so iOS Safari does not auto-zoom on focus, body text uses overflow-wrap: break-word so long URLs and codes can never force horizontal page scroll, and common flex/grid children get min-width: 0 so they shrink with their parent.

Responsive components

Six reusable patterns published once in brand.css and used everywhere they apply. Each is opt-in (apply the class) and self-contained (no other CSS required to function). Use these instead of authoring bespoke navs, modals, drawers, or tab strips on each page.

1. Hamburger nav

Top nav with horizontal links above 768px and a collapsing hamburger panel below. Marker class .nav-shell on the wrapping element scopes all rules. JS toggles .open on the .nav-shell-mobile when the toggle button is clicked.

Resize the window below 768px to see the hamburger appear. Click it to expand the panel. The toggle script is loaded once at the bottom of brand.html; copy it (or the inline onclick form used on the homepage) onto any page that uses the component.

2. Table wrap (.scroll-x-mobile)

Wrap a wide table or grid in a parent div with class .scroll-x-mobile. The horizontal scrollbar only appears when content exceeds container width. Same utility as Phase 1.6; treated here as the canonical pattern for any wide tabular surface (cohort tables, roster tables, contacts, deal-flow grids, etc.). Apply to the wrapper, never the table.

3. Responsive modal

Centered dialog box on desktop with a maximum width of 480px. At ≤480px the modal goes full-screen so cramped phones get the full surface. Wrap in .modal-backdrop for the overlay; apply .modal-responsive to the dialog itself.

4. Responsive drawer (side panel)

Fixed-width 380px drawer pinned to the right edge on desktop, full-screen on phone. Use for person panels, detail panels, contextual editors. Toggle visibility via JS by adding or removing the .open class. The drawer slides in from the right with a transform-only transition.

Markup: <aside class="drawer-responsive open">...</aside>. The drawer is fixed-positioned so it lives at the document level, not nested in cards.

5. Tab strip with horizontal scroll

Tabs flow left-to-right and scroll horizontally when they overflow. Native momentum on iOS, scroll-snap so taps still land neatly. The strip shows a thin scrollbar on desktop, none on mobile.

6. Auto-fit grid

Cards reflow into columns automatically based on a minimum card width. The min(N, 100%) trick prevents children from forcing horizontal page scroll when the viewport is narrower than the floor. Override the floor by setting --gaf-min on the parent (default 280px).

Card A

Auto-fit grid wraps these cards based on viewport width. Try resizing.

Card B

No media queries, just one grid declaration.

Card C

Override --gaf-min to tune the floor.

Card D

Reflows from 4 columns to 1 as the viewport shrinks.

Buttons

Primary
Secondary
Ghost
Compact

Cards

Content

M05 · Workflow Design

Map highest-value workflows and design AI-augmented versions.

D-11 Workflow MapD-12 Integration Brief
Phase-Bordered

Align Phase Summary

Four modules establishing institutional foundations.

Stat
28
Institutional Deliverables
Feature / Icon

Execute

Accent (Mulberry)

Anchor Workshop

Foundational institutional asset session.

Anchor Workshop

Tags and Badges

Phase Header (Solid)
Align Build Execute
Deliverable (Tinted)
D-01 AI Mandate D-11 Workflow Map D-22 Prototype Report
Status
Complete Active Upcoming
Role
Sponsor Champion Participant
Outline
Governance Workflows Category
Brand
Anchor Workshop

Links

Inline

See the programme architecture for the complete structure.

Breadcrumb
Workspace Module 05 Workflow Map

Form Inputs

On Canvas
On Alt Surface

Motion

Motion validates action. It does nothing else. Easing: cubic-bezier(0.16, 1, 0.3, 1)

Page entrance
400ms fade-in + 12px slide-up
Card hover
Border shifts to phase colour
Phase transition
Accent cross-fade, 300ms
Active state
Instant. No animation.
Never
Bounce, spring, elastic, shimmer, pulse

Carousels

Two carousel types. Both use the system easing curve. Both have arrow + dot navigation with consistent styling. Neither auto-advances without user intent.

Type A, Evidence
Used for: Operating Principles, stat-heavy cards
Transition: Crossfade, opacity swap, 500ms, system easing
Card height: Fixed (460px desktop, fluid mobile)
Auto-play: No, manual navigation only
Counter: 06 / 08 top-right
Rationale: Evidence needs dwell time. No rushing.
Type B, Content
Used for: Perspectives briefs, article teasers
Transition: Horizontal slide, translateX, 500ms, system easing
Card height: Fixed (340px)
Auto-play: Yes, 6s interval, pauses on hover
Counter: Dots only
Rationale: Browsable teasers. Invites exploration.

Shared rules: System easing curve on all transitions. Never bounce, spring, or snap. Arrow buttons: 40px circle, --divider border. Dots: 8px, --mulberry when active. Touch swipe supported on both. Wrap-around on Type B only.

06 · Applications

The brand applied

How the identity, voice, and visual system come together across every surface.

Marketing Site

setmode.io
setmode setmode.io
The Problem The Programme Who It's For
The AI Operating Model Programme

12 modules. 28 deliverables. An AI-enabled operating model the organisation owns permanently.

The Problem

Your team says "we are doing AI things." You cannot point to a single thing the organisation can now do that it could not do before.

The Programme
AlignBuildExecute
M01 · AI Mandate
D-01 AI MandateD-02 Founding Statement
M05 · Workflow Design
D-11 Workflow Map
setmode · Contact

Workspace

workspace.setmode.io
setmodesetmode
Modules
Deliverables
Sessions
Operating Model
Overview Workbook Resources
M05 · Workflow Design
Build PhaseActive

Map your highest-value workflows and design AI-augmented versions that the organisation operates permanently.

Deliverables
D-11 Workflow Map D-12 AI Integration Brief
2
Deliverables

Academy

Four-layer facilitator certification programme. Document viewer, gate assessments, and progress tracking. Deployed as a single-page application alongside the workspace.

academy.setmode.io
setmode Academy
Layers
1 · Methodology
2 · AI Fluency
3 · Live Delivery
4 · Ongoing Practice
Progress
Layer 1 · 9 of 25 items
Layer 1 · Methodology
Strategic Reference
Programme Philosophy

The programme exists because individual AI competence does not compound into organisational AI capability without deliberate architectural work. The gap between what individuals can do with AI and what the organisation retains is the operating model gap.

Every module produces deliverables that accumulate. Every deliverable builds institutional architecture. The resolving question is always: does this compound for the organisation, or does it stay with the individual?

Gate Assessment Write a mock client profile and challenge section

Social and Email

LinkedIn Post
Pierre Habib
setmode.io · AI Operating Models

Individual Intelligence does not compound. Only Institutional Intelligence compounds.

74% of organisations report AI investments that underperformed expectations. The pattern is consistent: the tools are deployed, the people are trained, the operating model is unchanged.

The programme exists for the 26% who are ready to build differently.

Email Signature
Pierre Habib
Founder · setmode.io
AI Operating Models for organisations ready to compound.

Slide Content Rules

Universal rules governing all setmode presentation formats: CEO presentation, proposal deck and operating principles. These rules exist because a slide is read in seconds, presented in a boardroom, and judged on clarity. Every word earns its place.

Word Limits
FIXED slides
60–80 words maximum. Thesis, diagnosis and programme slides. Canonical language from the elevator pitch.
LLM slides
80–120 words maximum. Client diagnostic, outcome cards. The LLM constraint enforces this ceiling.
Data slides
Copy is labels only. Tables, grids, chips. No paragraphs.
Sentences and Paragraphs
Sentence length
15 words maximum. One idea per sentence. Full stop. Next idea.
Paragraphs
One paragraph maximum per slide, and only if it is 2–3 sentences. Prefer single sentences separated by whitespace.
Two-paragraph test
If a slide needs two paragraphs, the slide has too much text. Decompose into cards, columns or a table.
Headlines
Length
12 words maximum. Declarative. States what is true.
Headline-only test
A CEO who reads only headlines should get the full narrative arc. Every headline must stand alone.
Formatting
Bullet points
  • Use where a reader needs to scan (decks, instructions, contract terms).
  • Avoid where the voice should be prose (brand copy, thesis-weight paragraphs).
  • Decompose with structural blocks (stat callouts, cards, columns, table rows) when the list would carry visual weight the slide owes to its frame.
Register
Strategic register throughout. Complete sentences, but short complete sentences. No fragments.
Evidence
Stats and source citations ground the argument. A claim earns its right to be made when the number is in the sentence.
Minimum Text Size
Body content
14px minimum. Headlines, body text, card descriptions, stat labels. Readable at arm's length.
Structural labels
11px minimum. Section labels, category names, table headers. Uppercase, letter-spaced. Serves as wayfinding.
Metadata
9px minimum. Footer text, source citations, page numbers. Present but unobtrusive.
Vertical Distribution
Headers
Section label and action title pin to the top of the slide. Fixed position.
Content area
Fills the remaining height and centres its content vertically. Stats, cards, grids and body text spread evenly across available space.
Footer
Pinned to the bottom. Client name, setmode.io, page number.
The Squint Test
Rule
Squint at the slide. If it looks like a wall of text, it fails. A passing slide shows: headline, whitespace, 2–3 visual elements (stats, cards, callouts), whitespace, footer.

Presentation

CEO-level presentations delivered live. 16:9 dark canvas (#202124), projected in boardrooms and conferences. Century Gothic for PPTX output (Inter shown here as web proxy). Every element legible at 4 metres in a dimly lit room.

PropertyValue
Aspect ratio16:9 (1920 × 1080px)
CanvasDark #202124
OutputPPTX (primary), HTML single-file, or PDF via print
TypefaceCentury Gothic (Regular, Bold). Courier New for metrics/codes.
Projection testEvery element legible at 4 metres in a dimly lit room
Accent ruleOne accent colour per slide. Two at absolute maximum.
Amber reserveBurnished Amber #8A6810 reserved for synthesis slide only

The deck uses a paired slide structure. Each principle gets two slides: the statement, then the evidence.

Slide A · Principle
01
Governance precedes deployment
setmode Operating Principles
Slide B · Evidence
GOVERNANCE PRECEDES DEPLOYMENT
18%
enterprise governance
councils
28%
CEO direct
oversight
12%
board-level AI
training disclosed
CEO oversight of AI governance is the element most correlated with higher EBIT impact at larger companies.
McKinsey State of AI (2025, n=1,491) Operating Principles
Principle Slide (A)
Principle number
Courier New 700, 24px, phase accent colour, zero-padded (01)
Principle title
Century Gothic Bold, 56–64px, #E8E8E8, line-height 1.15. Max 75% slide width. Two lines ideal.
Rule
Title is the only content element. No body text, no stats, no sources.
Evidence Slide (B)
Stat number
Century Gothic Bold, 72–96px, phase accent colour. Max three per slide. Two is better.
Stat label
Century Gothic Regular, 14px, #A8A8A8, centred beneath stat. Three words maximum. Lowercase.
Stat container
#28292C background, 24px padding, 4px border-radius
Reinforcing statement
Century Gothic Regular, 20–22px, #E8E8E8, line-height 1.6, max 80%. Must pass: standalone test, evidence test, voice test.
Source line
Century Gothic Regular, 11px, #6B6B6B. Format: Institution, Report Title (Year, n=sample).
Spacing (8px Grid for Projection)
Content margins
80px left/right, 72px top, 64px bottom
Element gap
24px between stat containers
Section gap
40px between section label and content
Slide Sequence
Slide 1
Title slide. Deck title 56–64px, subtitle 24px, brand mark below. No footer.
Slides 2–17
8 principles × 2 slides (principle + evidence). ~30–40 minutes at measured pace.
Slide 18
Synthesis. Burnished Amber accent. Prose only, no stats. "THE STRUCTURAL FINDING".
Slide 19
Sources (optional, not presented).

Proposal Deck

27-slide landscape A4 HTML presentation generated per organisation. Follows the elevator pitch arc: I/I gap, diagnosis, failure modes, client situation, evidence (8 principles), programme, sponsorship, ownership, compounding, investment. White print palette. Century Gothic typography. Mulberry/sage/clay/slate accent system. Travels without a presenter. Strategic register throughout.

Proposal · Cover
setmode setmode.io
AI Operating Model
Programme Proposal
Prepared for Acme Corporation
April 2026 Confidential
Proposal · Build Phase
ALIGN BUILD EXECUTE
Modules
M05 · Workflow Design
Map and redesign highest-value workflows
M06 · Tool Landscape
Evaluate, select and configure AI tools
M07 · Prototype Sprint
Build and test two live AI workflows
Deliverables
D-11 Workflow Map D-12 AI Integration Brief D-13 Tool Register D-14 Selection Rationale D-15 Prototype Brief D-16 Test Report

AI Operating Model

The programme's crown deliverable. A landscape A4 Word document synthesised from all 28 deliverables at programme close. White paper palette. Century Gothic typography in production (Inter shown here as web proxy).

AI Operating Model · .docx · Landscape A4
setmode
AI Operating Model
Acme Corporation · April 2026
28 deliverables 12 modules 12 weeks
ALIGN BUILD EXECUTE
Align D-01 · AI Mandate
AI Mandate
Strategy & Alignment · Synthesis deliverable

The AI Mandate defines what AI means for this organisation: not as a technology position, but as an institutional commitment to building the operating model that converts individual capability into permanent organisational architecture.

The cohort identified three governing priorities that shape every subsequent module. Each priority carries a measurable commitment and a named owner within the leadership team.

Reading System

The design system for every long-form document setmode produces: the AI Operating Model, proposals, reports, long-form perspectives, and this page. Any document where someone sits down to read, not scan, not navigate, not operate, uses this system.

Three principles: calm authority (warm canvas, restrained colour, generous whitespace), readable at every level (scanning, section reading, and deep reading all supported), and nothing decorative (every visual element carries meaning).

Reading Surface

PropertySpecification
Ground--canvas (#F8F5F0). Warm paper, not white. --surface (#FFFFFF) only for elevated elements (sticky header, data cards)
Content column720px max-width, centred. Produces 65–80 characters per line at 18px, the proven readable range
Prose column640px max-width for pull quotes, governing thoughts, declarations. Emphasis through compression
Body textInter 400, 1.125rem (18px), line-height 1.65. Paragraph spacing 1.5rem (24px)
HeadingsGelasio 500. Document title 1.75rem. Chapter title 1.4rem. No weight exceeds 600 anywhere in the system

Colour Restraint

ElementColourSignal
Content H3 headers--mulberryStructural section break within a deliverable
Pull quote left border--mulberry 3px"This is the key finding"
Content H4 left border--mulberry 2pxSub-section within structured content
Strong text--mulberryEmphasis, creates scannable anchor points
Em-dash list bullets--mulberryList items (functional)
Chapter divider rules--sage / --clay / --slatePhase transition (Align / Build / Execute). The only colour in the body
Active navigation--mulberryCurrent position in sidebar and sticky header
Governing thought--mulberryThe single most important sentence in the document

Navigation & Structure

Summary view. Full navigation specification (retreat/reveal, scroll-spy, responsive breakpoints, motion) in Section 09.

ComponentSpecification
CoverCentred title moment. Logo, org name (Gelasio 1.75rem uppercase), document type, date. Metrics visible on first screen. No sidebar, no header, just the content
Sticky header48px, fixed top, appears on scroll past cover (opacity 200ms). Back arrow, logo, name, chapter label, download icon
Progress bar2px --mulberry fill below sticky header. Updates via requestAnimationFrame
Sidebar240px fixed left, floats over margin without displacing content. Fades in after cover (400ms). Retreats after 120px downward scroll. Never retreats while cursor is over it. Reappears on scroll-up or mouse near left edge. Hidden below 1024px
Chapter dividersTop/bottom 2px coloured rules. Number + title on same line (flex row), subtitle below. 4rem between chapters
DeliverablesFlat (no cards). Number + mid-dot + name + status dot. Pull quote (first paragraph as Gelasio italic). Full content below
DeclarationsLabel (uppercase 0.65rem) + Gelasio italic text + attribution (em-dash prefix)
PrintSidebar, header, progress bar hidden. Content fills page. Chapter dividers trigger page-break-before. Exact colour printing enforced

Application

DocumentUses
AI Operating ModelFull system: cover, sidebar, sticky header, 7 phase-coloured chapters, 28 deliverables with pull quotes, declarations, contributors, closing
ProposalsReading surface + typography + content elements. No sidebar (short enough for linear reading). No phase colours. Pull quotes placed manually
Perspectives (long-form)Reading surface + typography. No sidebar. Section breaks via horizontal rules. Pull quotes for key findings
ReportsFull system including sidebar. Chapter dividers with --divider rules (no phase colours unless programme-related)
Brand TruthTypography system (18px body, 1.65 line-height, 96px section spacing). Retains 1120px container and horizontal nav for reference-document layout
Cover moment
Acme Corp
AI Operating Model
· April 2026 ·
28
Deliverables
5
Workflows
2
Prototypes
Reading view
Summary
What We Decided
D02 AI Vision
D03 Leadership Mandate
D04 AI Opportunity Map
What We Designed
How We Govern
What We Built
Declarations
Acme Corp · AI Operating Model What We Decided
02 What We Decided
Strategic direction, leadership mandate, and the Value Streams chosen.
D03 · Leadership AI Mandate
The leadership mandate establishes AI as an institutional capability, not a technology experiment.
Governing Commitments

Three governing priorities shape every subsequent module. Each carries a measurable commitment.

Sidebar Behaviour

Fades in (opacity 400ms) after scrolling past cover. Retreats after 120px of continuous downward scroll. Never retreats while cursor is hovering over it. Reappears immediately on scroll-up or when mouse moves within 40px of the left viewport edge. On click, scrolls to target with 80px offset for the sticky header.

Scroll Tracking

Chapter and section tracking uses scroll-position checks inside requestAnimationFrame (not IntersectionObserver thresholds). The current chapter is whichever .om-chapter element has most recently scrolled past the 80px header zone. Deliverable highlighting uses IntersectionObserver with rootMargin -20% 0px -60% 0px.

Print

Hides sidebar, sticky header, progress bar, and facilitator status bar. Content expands to fill page width. Chapter dividers trigger page-break-before: always. Cover prints as the first page. Pull quotes and deliverable content print at full opacity.

Module Guide

Each of the 12 modules follows a fixed seven-component schema. Rendered in the workspace workbook and academy document viewer. The schema ensures every module is structurally complete before delivery.

Module Guide · M05 Workflow Design
Build Module 05
Workflow Design

Map your highest-value workflows and design AI-augmented versions that the organisation operates permanently.

Session Structure
Opens with → Introduces → Live activity → Closes with
The Assignment
Task, who completes, effort estimate, quality bar
Tools and Prompts
Relevant AI tools + 2–4 starting prompts
Programme Position
Builds on prior deliverables → Feeds forward
D-11 Workflow Map D-12 AI Integration Brief

LinkedIn Banners

Two distinct banners: the personal profile banner for Pierre and the company page banner for setmode.io. Both use canvas ground with mulberry accent, replacing the previous black-background treatment.

Surface
Dimensions
Aspect Ratio
Notes
Personal profile
1584 × 396
4:1
Profile photo overlaps lower-left quadrant. Keep content right of centre or centred-high.
Company page
1128 × 191
~6:1
Very narrow. Logo overlaps lower-left. Keep composition horizontal and minimal.
Composition Rules
Canvas ground (#F8F5F0) as background. Mulberry bottom border (3px) as the anchoring accent. Logomark right-aligned on personal banner. Content biased right of centre to avoid profile photo overlap. Gelasio 500 for headline text. Inter for supporting line. Phase dots as structural colour, not decoration.
What Not to Do
No black or dark backgrounds. No gradients or colour transitions. No cyan, neon, or high-saturation colour. No stock photography or decorative imagery. No "Clarify → Codify → Amplify" tagline (retired). No type smaller than 14px equivalent at export resolution. No phase chips, use dots only at this scale.

Personal Profile Banner

1584 × 396. Content shifted right to clear the profile photo overlay zone (lower-left ~20%).

LinkedIn Personal Banner · 1584×396 · Pierre Habib
setmode.io setmode
AI Operating Models
Converting individual capability into institutional
architecture that compounds after we leave.
Align
Build
Execute

Company Page Banner

1128 × 191. Narrower aspect ratio. Horizontal composition. Logo overlaps lower-left, so content centred or right-biased.

LinkedIn Company Banner · 1128×191 · setmode.io
setmode
The AI Operating Model Programme
12 modules · 28 deliverables · Architecture that compounds
08 · Standards

Do and Don't

Side-by-side reference for correct brand application across every surface.

Colour

Do

Use Mulberry for action and commitment (CTAs, links, focus states).

Use phase colour as a precise semantic signal: Sage for Align, Clay for Build, Slate for Execute.

Use tinted chips in dense content to keep colour present but recessive.

Don't

Phase colour on CTAs or links. Phase colour is structure, not action.

Phase colour as a background flood. Colour is a signal, not a wash.

Solid chips that overwhelm adjacent text in dense layouts.

Typography

Do

Use Gelasio for headings that set the tone (Display through H2).

Use weight for emphasis (Inter 600 vs 400).

Let the serif carry the authority. Let the sans carry the content.

Don't

Use serif for body text, UI elements, or small labels (overuse dilutes the signal).

Use italic, underline, or colour for body emphasis.

Use weight 700 (Bold). Maximum is 600.

Voice

Do

"The programme produces 28 deliverables across seven categories, including two working prototypes in live operations."

Write from the affirmative. State what something is.

Don't

"We'll help your team leverage AI tools to transform how you work."

Use em dashes. Use corporate buzzwords. Use banned vocabulary.

Layout

Do

Let whitespace signal confidence. Generous spacing between sections.

Test every element at boardroom projection distance.

Alternate canvas and alt-surface sections for visual rhythm.

Don't

Fill every pixel. Density belongs to Bloomberg, not setmode.

Add gradients, decorative shadows, or visual noise.

Two consecutive alt sections. It breaks the rhythm.

Identity

Do

Frame the programme's outcome as accumulation. What each person builds, the organisation retains.

Let the architecture create the emotion.

Don't

Visual hype, urgency patterns, congratulations banners, animation fanfare.

Content that performs expertise rather than transfers it.

Dark Ground

Near-black #242628, cool neutral. The only inverted surface in the system. Used for the website footer.

Footer

The programme closes the gap between individual AI adoption and organisational AI transformation. View the curriculum →

setmode.io is designed and delivered by Pierre Habib.

Align Build Execute Outline

© 2026 setmode.io. All rights reserved.

RoleLight GroundDark Ground
Ground#F8F5F0 (canvas)#242628 (near black)
Primary text#2C2824#F8F5F0 (canvas white)
Secondary text#6B6560#9A9490 (oyster)
Linksvar(--text) (mulberry)#F8F5F0 + underline
Border#D9D5CD#3A3C42
Phase chipsSolid or tintedSolid or outline (no tints)
10 · Intellectual Foundation

What the research says

Eight research tenants drawn from McKinsey, BCG, Gartner, Bain, Stanford HAI, MIT, IBM, Kyndryl, RAND, S&P Global, Accenture and IDC. More than 30,000 executives surveyed across 100+ nations.

Tenant 1 · Adoption Is Universal. Value Is Rare.

The adoption question is settled. 88% of organisations use AI regularly in at least one function. Corporate AI investment hit $252.3 billion in 2024. The value question tells a different story: more than 80% see no tangible EBIT impact. Only 5-6% qualify as high performers. The gap between adoption and value is the defining structural condition of organisational AI.

FindingSourceYearSample
88% regular AI use in at least one functionMcKinsey, State of AINov 20251,993 respondents, 105 nations
78% organisational adoption (up from 55% in 2023)Stanford HAI AI Index2024Aggregated from McKinsey surveys
80%+ see no tangible EBIT impact from generative AIMcKinsey, State of AIMar 20251,491 respondents, 101 nations
74% have yet to show tangible valueBCG, Where's the Value in AI?Oct 20241,000 CxOs, 59 countries
72% breaking even or losing money on AIGartner, CIO SurveyMay 2025506 CIOs
Only 5-6% qualify as AI high performersBCG; McKinsey20251,250+ executives

Tenant 2 · Value Comes from Design, Not Technology

The 5-6% generating value share structural characteristics about how the organisation is designed, not which technology it deployed. Workflow redesign is the single largest driver of EBIT impact. High performers are three times more likely to have redesigned workflows. 70% of AI challenges are people and process. Most organisations invert the ratio.

FindingSourceYear
Workflow redesign: single largest effect on EBIT impact (of 25 attributes)McKinseyMar 2025
55% of high performers redesigned workflows vs. 21% overallMcKinseyMar 2025
70% of AI challenges are people and processBCGOct 2024
16% with modernised processes achieve 2.5x revenue growthAccentureOct 2024
Workflow redesign yields 25-30% productivity vs. 10-15% from toolsBain2025

Tenant 3 · AI Programme Failure Is Institutional

42% of companies abandoned the majority of their AI initiatives in 2025. 88% of proofs of concept fail to reach production. More than 80% of AI projects fail, twice the non-AI IT rate. The consistent finding: failures are institutional, not technical. The AI component functions. The organisation rejects it, abandons it, or cannot operate it in production. Four of five root causes are organisational.

FindingSourceYear
42% abandoned the majority of AI initiatives (up from 17% YoY)S&P Global 451 ResearchEarly 2025
88% of AI PoCs fail to reach productionIDC / Lenovo CIO PlaybookFeb 2025
80%+ of AI projects fail (2x non-AI IT failure rate)RAND Corporation2024
4 of 5 root causes of AI failure are organisationalRAND Corporation2024

Tenant 4 · Governance Is the Structural Prerequisite

Only 18% have an enterprise-wide AI governance council. Only 28% have a CEO overseeing AI governance. CEO governance oversight is the element most correlated with EBIT impact. 57% estimate their data is inadequate for AI. 97% of CDOs struggle to demonstrate AI business value. The governance gap and the value gap are causally connected.

FindingSourceYear
Only 18% have enterprise-wide AI governance councilMcKinseyMay 2024
Only 28% have CEO directly overseeing AI governanceMcKinseyMar 2025
CEO governance oversight most correlated with EBIT impactMcKinseyMar 2025
57% estimate data is inadequate for AIGartnerFeb 2025
97% struggle to demonstrate AI value (data + org limitations)InformaticaJan 2025
Only 12% of Fortune 100 disclosed board-level AI trainingEY / Harvard Law Forum2025

Tenant 5 · Workflow Redesign Is the Largest Value Driver

Workflow redesign produces the single largest effect on EBIT. High performers are three times more likely to have fundamentally reworked processes. BCG's 10-20-70 ratio: 70% of effort should go to people and processes. AI productivity gains reverse at 4+ tools: 33% more decision fatigue, 39% more errors, 9-point increase in intent to quit. The remedy is the same as the value driver: redesign the workflow.

Cross-reference: workflow redesign evidence also appears in Tenant 2 (value comes from design). Tenant 2 establishes the principle; Tenant 5 isolates the mechanism.

FindingSourceYear
High performers 3x more likely to have redesigned workflowsMcKinseyMar 2025
AI productivity reverses at 4+ tools ("brain fry")BCG / HBRMar 2026
33% more decision fatigue, 39% more errors beyond thresholdBCG / HBRMar 2026
9-point increase in intent to quitBCG / HBRMar 2026

Tenant 6 · Investment and Alignment Are Different States

95% of senior executives report investing in AI. Only 14% have aligned workforce, technology and business goals. The 81-percentage-point gap represents organisations that have funded, deployed and trained without designing the conditions for coordinated institutional outcomes. 80% approach AI with efficiency as the primary objective. The organisations generating the greatest EBIT impact set growth and innovation alongside cost reduction.

FindingSourceYear
95% investing in AI, only 14% achieved alignmentKyndrylMay 2025
14% ("AI Pacesetters") are 3x more likely to have change managementKyndrylMay 2025
80% cite efficiency as primary AI objectiveMcKinseyMar 2025
Only 36% of employees believe AI training is sufficientBCG, AI at WorkJun 2025

Tenant 7 · The Performance Gap Is Widening and Compounds

AI leaders show 1.7x revenue growth, 3.6x three-year total shareholder return and 1.6x EBIT margin versus laggards. The gap widened on every measured dimension from 2024 to 2025. Only 7% have fully scaled AI. The organisations that moved from pilot to scale built governance and workflow redesign into the pilot phase rather than deferring it.

FindingSourceYear
AI leaders: 1.7x revenue growth, 3.6x TSR, 1.6x EBIT marginBCG, Widening AI Value GapSep 2025
Gap widened across every dimension from 2024 to 2025BCGSep 2025
Only 7% have fully scaled AIMcKinseyNov 2025
Leaders plan to spend 2x+ on AI vs. laggardsBCGSep 2025

Tenant 8 · The Post-Programme Stall Is Predictable and Preventable

Organisations that build genuine capability during a structured programme frequently stall in the months immediately following programme close. The capability does not degrade. What disappears is the operating rhythm: scheduled reviews, accountability cadences, facilitated decision points. Four cadences are the minimum viable structure: weekly operational, monthly leadership, quarterly governance, annual strategic. If the rhythm is functioning by month three, capability compounds independently. If absent, the stall has begun.

Evidence Governance

Every claim published under the setmode name is cross-referenced against primary sources. An internal discrepancy register tracks any attribution corrections, figure updates or partially verified findings. Corrections are applied to published content within one review cycle.

Full source bibliography (32 primary sources with URLs, sample sizes and publication dates) maintained internally.

11 · Layouts

Two visual classes

setmode produces two visual classes of branded output, distinguished by medium. Document-class outputs render as A4 landscape pages, print, and ship as PDFs: proposals, CEO presentations, the brand book itself. Screen-deck outputs render viewport-filling, scroll-snap, screen-only: programme module decks projected in-room or screen-shared on Teams, Zoom and Meet. The shell determines the class. Mixing affordances across classes, Print buttons on a programme deck, scroll-snap on a proposal, is a class-level fault.

Document class

A4 landscape, 297 × 210 mm. Every page boxed, footer absolute at the bottom, content padded inside a fixed safe area. Prints to A4 paper, exports to PDF. Renders consistent across screen and print. The brand book aesthetic. Used wherever a recipient receives the artefact as a file: proposals sent via email, CEO presentations sent ahead of board meetings, the brand book itself.

Screen-deck class

Viewport-filling, no fixed dimensions, no A4 frame. Each slide takes the full browser content area. Scroll-snap paces slide-to-slide gestures so trackpad swipes and Page-Down land cleanly on the next slide. Footer flows at the bottom of content, not absolute. Print attempts show a "screen-only" notice rather than rendering badly. Used for programme module decks where 90% of consumption is screen-shared in video calls and 10% is in-person on a projector, both gain when the A4 letterboxing comes off and content fills the available pixels.

The A4 landscape shell (document class)

For document-class outputs, every branded artefact starts from the same A4 landscape shell. One container, standard padding, standard footer. What changes between document types is the recipe: which blocks go in which slots, filled with which content, under which voice.

The shell, at a glance

Outer rectangle is the A4 landscape page. The tinted inner zone is the safe content area after padding. The faint rule inside shows the footer position. Exact numbers below.

Spec

PropertyValueNote
Page297 × 210 mmA4 landscape, print-ready
Padding48 / 72 / 60 / 72 pxtop / right / bottom / left
Footerbottom 28 px, side inset 72 px0.5 px rule, 9 px text, muted
Action title32 px · 700Section headline
Body text17 px · 400Reading baseline
Stat number80 px · 800Signature figure

Why one shell

Hand-maintained duplicates drift. The moment a proposal's padding differs from a presentation's by four pixels, the signal weakens. One shell, derived by recipes, that is the moat.

Document types differ in their recipes: which block appears where, what data fills it, what voice governs the text. They do not differ in the container.

How the recipes differ

RecipeBlocks drawn from the libraryContent drawn from
Proposalcover · divider · stat row · failure grid · clean table · category grid · arc · resolving · operating principles · phase detail · investmentengagement, sector, commercials, terms
CEO presentationcover · divider · stat row · failure grid · category grid · keep grid · arc · resolvingcurated story atoms, traction, ask
Module deckprogramme-arc · ceremony · concept · activity · comparison · input-reference · showcase · aggregate · validation · prompt librarySupabase programme_slides, empathy, cohort
Artefact (AIOM)cover · stat row · failure grid · category grid · resolving · any block the recipe namesoperating model snapshots, deliverable data
12 · Blocks

The block library

Every branded deck is assembled from this library. Each block is a tested visual pattern with known content slots. A recipe picks blocks in order and fills the slots from a data source. Here they are, live, rendered by the same CSS that powers real documents.

Slide type to block map

Supabase type_idCountBlock(s) emittedSection 12 entry
ceremony40ceremony-statementCeremony statement
concept37framework or concept-canvasFramework · Concept canvas
programme-arc25programme-arc or arc-preview-columnsProgramme arc · Arc preview columns
activity25activity-card or live-workspaceActivity card · Live workspace
showcase-carousel17keep-grid · carousel · clean-tableKeep grid · Carousel (see Section 10) · Clean table
validation-view16clean-tableClean table
aggregate-dashboard12aggregate-reveal · bar-chart · chip-spread · dimension-spread (legacy) · evidence-callouts · heatmap · stat-row · stat-calloutAggregate reveal · Bar chart · Chip spread · Dimension spread (legacy) · Evidence callouts · Heatmap · Stat row · Stat callout
input-reference7framework (matrix layout)Framework
prompt-library2code-demoCode demo
comparison-view0reserved(unused today)

Total. 181 content slides across 12 modules. Covers are added by the generator (one per module) and are not a type_id; they use the Cover block below.

Typography

The headline that frames this slide in six to fourteen words.

Body text carries the reasoning between headline and the block beneath. Seventeen pixels, 1.75 line-height, for the strategic register.

Secondary body text de-emphasises supplementary context or caveats.

Classes: .section-label · .action-title · .body-text · .body-text.emphasis · .body-text.secondary
Slots: label (1–3 words) · title (6–14 words) · body (1–3 sentences)

Cover

● setmode.io
Commercial Real Estate

Novus · AI Operating Model Programme

Prepared for the Board · April 2026
Classes: .cover-logo · .cover-rule · .cover-subtitle · .cover-title · .cover-meta
Slots: logo · subtitle (sector/context) · title · meta (prepared-for, date)

Divider slide

Phase 02 · Build
Four modules. Seven deliverables. One architecture.
Classes: .divider-inner · .divider-bar · .divider-title · .divider-subtitle
Slots: bar colour (phase accent) · title (phase name) · subtitle (one-line promise)

Stat row

74%
of AI investments underperform expectations
12
modules compose the full Operating Model programme
28
institutional deliverables produced across 90 days
Classes: .stat-row · .stat-item · .stat-num · .stat-txt
Slots: 2–4 stat items · each = number (2–3 characters) + caption (max ~10 words, 180px cap)

Failure-mode columns

01
Discussion without output
Every session produces a deliverable that survives the room. Anything less is theatre.
02
Training without transformation
Programmes end when the operating model takes hold, not when the curriculum runs out.
03
Consultant dependency
The champion owns the model on day 91. The facilitator steps out; the system stays.
The pattern repeats across every wave of adoption. Each failure feeds the next. The system stays the same until the model changes.
Classes: .failure-mode-block · .failure-mode-columns · .failure-col · .failure-icon · .failure-name · .failure-desc · .failure-divider · .failure-mode-closer
Slots: 2–4 columns · each = icon (number or glyph) + name (3–6 words) + description (1 sentence) · optional closer (synthesis line, full width, centred)

Category grid

Strategy & Alignment
D01Readiness Audit
D02AI Vision
D03Leadership Mandate
D04Opportunity Map
D05Value Stream Selection
D06Operating Model Canvas
Workflow & Process
D07Workflow Library
D08Workflow Blueprints
D09Use Case Briefs
Tooling & Prototyping
D10Tool Landscape
D11Prompt Library
D12Prototype 01
D13Prototype 02
D14Prototype Spec
D19Data Map
Governance & Risk
D15Governance Framework
D16Risk Register
D17Ethics & Compliance
D18Data Governance
Measurement & Value
D20Value Measurement
D21Impact Report
Operating Rhythm & Scaling
D22Scaling Roadmap
D23Operating Rhythm
D24AI Playbook
D25Institutionalisation Plan
Change Enablement
D26Stakeholder Comms
D27Champion Onboarding
D28Transformation Playbook
Align Build Execute Prompts
Classes: .category-grid · .category-band · .category-band-head · .category-band-name (column heading, 15px mixed case, reserves min-height of 2 lines so cards top-align across columns) · .category-band-tiles · .deliverable-tile (with .phase-align / .phase-build / .phase-execute driving the tile background and text colour, absent class falls back to mulberry tint for the cross-phase Prompts card) · .deliverable-id · .deliverable-name · .category-grid-legend · .category-grid-legend-pill (with the same phase classes)
Slots: categories[] (each: label · count · deliverables[] of {id, name}). Renderer auto-adapts to N columns; canonical use is seven.
Use. M01-S06 'AI Operating Model'. Shows all 28 deliverables grouped by canonical category. The cohort sees real scope (28) and real shape (7) without reading 28 names. Hydrator joins programme_categories with programme_deliverables.

Clean table

PhaseDurationOutcome
AlignWeeks 1–4Institutional foundations named and agreed
BuildWeeks 5–8Workflows redesigned, governance installed
ExecuteWeeks 9–13Operating model commissioned to the champion
Classes: .clean-table + accent variant (.brand, .clay, .slate, .sage)
Slots: header row + any number of body rows · even-row background via --alt-row · last column can hold prose

Two-column diagnostic

What the client holds
Strong individual capability. AI tooling adopted across teams. A clear board mandate.
What the client lacks
An architecture that makes the capability compound. Governance that turns usage into throughput.
Layout · prose (default). Boxed columns with prose bodies. Right column accepts mulberry accent for "after" / "target" framing.
Classes: .two-column-diagnostic · .col · .col.accent · .col-label · .col-body
Where most organisations are
After the programme
AI as individual tools
AI as operating infrastructure
Knowledge stays with the individual
Knowledge compounds in shared systems
Scattered adoption, informal governance
Governed capability across functions
Strategy and execution separated
Strategy and capability built simultaneously
Consultant dependency, fragile capability
Institutional ownership, permanent capability
Starting again after every departure
28 named deliverables compounding from session one
The organisations building an AI-enabled operating model are accumulating structural advantage with each passing quarter.
Layout · rows. Paired-row contrast table. Hairline above each row. Last row marked emphasis renders the right cell in mulberry. Takeaway band below.
Classes: .two-column-diagnostic.layout-rows · .rows-header · .rows-row · .rows-row.emphasis · .rows-cell · .rows-closer

Two-column affirmative

The work
The output
A 12-week build across 12 modules
28 deliverables Novus owns at commissioning
Pre-work, session and assignment, every week
A signed Founding Statement and named functional sections
Two working prototypes in live operations
A Prompt Library that compounds from session one
Layout · affirmative. Equal-weight columns, both kickers in brand colour, both columns left-aligned. Reuses the diagnostic rows-layout scaffolding for hairlines and spacing under a dedicated wrapper class.
Classes: .two-column-affirmative · .rows-header · .rows-row · .rows-cell

Sponsorship arc

Founding
The sponsor declares intent
The CEO signs the founding statement. The programme begins with institutional, not individual, authority.
Anchor
The champion owns the architecture
Four anchor workshops install the operating model. The champion's signature appears on every deliverable.
Commissioning
The system takes over
Day 91 arrives. The facilitator steps out. The operating model runs under institutional ownership.
Classes: .arc-step · .arc-marker · .arc-dot · .arc-line · .arc-content · .arc-label · .arc-name · .arc-desc
Slots: 3–5 steps · each = dot colour (phase accent) + label + name + description · last step omits arc-line
Classes: .carousel · .carousel-viewport · .carousel-card · .carousel-card-title · .carousel-card-subtitle · .carousel-card-body · .carousel-nav
Slots: cards (2 to 8) · each = title + optional subtitle + body. Optional per-card rows for structured content (e.g. dimension × score).
Motion. Full motion spec in Section 10 Motion (see above). Crossfade 500ms or horizontal translate 500ms, both use system easing cubic-bezier(0.16, 1, 0.3, 1).
Use. Per-participant content reveal: vision carousel (M02), opportunity carousel (M03), trajectory carousel (M09/M12). Evidence walk-throughs.

Keep grid

Institutional ownership
Every deliverable signed by a named role, not a workshop note.
Architecture over activity
The moat is the connections between components, not the components themselves.
Earned quiet
Whitespace carries authority. Density is cheap.
Specificity of audience
Every sentence addresses the sponsor, champion, functional leader or sceptic by name.
Classes: .keep-grid · .keep-item · .keep-title · .keep-desc
Slots: 2-column grid · each item = title (2–5 words) + description (1 sentence)

Question cards

Open the diagnostic for eleven days.
Eleven attendees did not submit yesterday. Re-opening the form for one week keeps the M12 comparison honest. Without it the closing denominator understates the true starting point.
Name governance from the front.
Governance is the structural gap the room itself surfaced. Naming it from the sponsor seat signals the gap is acknowledged at the top and gives the cohort permission to write evidence into the next round.
Anchor M02 on the data-infrastructure split.
The richest moment in the data is the disagreement between senior leadership and the technical team on data infrastructure. M02 should make that disagreement visible and resolve it into one shared picture.
Two small platform fixes for cleanliness.
The Novus engagement row needs a start date set. The diagnostic submit handler should reject null scores. Both keep future regenerations and the M12 comparison clean.
Classes: .question-cards · .question-card · .question-card-title · .question-card-body · accent variants .accent-clay · .accent-slate · .accent-sage
Slots: 2 to 4 cards · each item = title (4–8 words) + body (2–3 sentences) + optional accent.
Use. Closing prompts on sponsor and champion reports. Pairs with the resolving slide on facilitator-facing documents and with the cover block on cohort-facing ones.

Resolving slide

The moat is not what you build.
It is how the parts connect.
setmode
Classes: .resolving-center · .resolving-line1 · .resolving-line2 · .resolving-rule · .resolving-close · .resolving-logo
Slots: line 1 (text colour) + line 2 (mulberry) + rule + close · typically the final slide of any deck

Stat callout

74%
of organisations report AI investments that underperformed expectations
MIT Sloan / BCG survey of 2,700+ executives · 2024
Classes: .stat-callout · .stat-number · .stat-label · .stat-caption
Slots: one headline number · label (1 sentence) · caption (citation or source)

Bar chart

Capability
1.57
Culture
1.29
Governance
1.0
Tooling
2.0
Baseline · 7 participants
Classes: .bar-chart · .bar-row · .bar-label · .bar-track · .bar-fill · .bar-value · .weakest modifier
Slots: 3 to 8 bars · each = label + value + optional range band · weakest bar gets mulberry accent · optional caption
Use. Aggregate score reveal, cohort averages, before / after comparison. Pairs with aggregate-reveal as detail.

Dimension spread

Capability
Culture
Data infrastructure
Governance
Tooling
Classes: .framework.dimension-spread · .dimension-spread-rows · .dimension-spread-row · .dimension-spread-dim · .dimension-spread-scale · .dimension-spread-axis · .dimension-spread-axis-tick · .dimension-spread-bar · .dimension-spread-marker · .dimension-spread-bar.ghost · .dimension-spread-marker.ghost · .dimension-spread-link · .dimension-spread-axis-numerals · .dimension-spread-epoch
Slots: 5 dimension rows (canonical) · each = label + low + avg + high · optional ghost{low,avg,high} for M12 · optional epoch label(s) · optional axis numerals.
Geometry contract. Identical row template to rubric-survey: 220px label column, 32px gap, 14px row padding, 1100px container cap, 5 axis positions at 10/30/50/70/90% of the scale width. This is what makes the rubric on slide 18 the legend for the markers on slides 20 and 21 of the baseline family.
Use. Legacy. Superseded for the baseline family by chip-spread per the patched /specs/m01-m12-baseline-family.md. Will be removed in cleanup once the renderer migration to chip-spread completes.

Chip spread

Slide 21, reading state. Lit chips between cohort low and high, mulberry avg chip layered on top, evidence column to the right vertically aligned to its rows.

Capability
1
2
3
4
5
3.2
Culture
1
2
3
4
5
2.3
Data infrastructure
1
2
3
4
5
2.1
Governance
1
2
3
4
5
1.8
Tooling
1
2
3
4
5
2.8

Slide 20, spread state. Same chip layout, no avg chip, no evidence column. Read first to seat the room in its disagreement before slide 21 lands the average and the language.

Capability
1
2
3
4
5
Culture
1
2
3
4
5
Data infrastructure
1
2
3
4
5
Governance
1
2
3
4
5
Tooling
1
2
3
4
5
Classes: .framework.chip-spread[data-state] · .chip-spread-rows · .chip-spread-row · .chip-spread-dim · .chip-spread-scale · .chip-spread-chip (.lit · .unlit · .avg-overlap) · .chip-spread-bar · .chip-spread-avg · .chip-spread-bar.ghost · .chip-spread-chip.ghost-lit · .chip-spread-avg.ghost · .chip-spread-link · .chip-spread-epoch · .chip-spread-with-evidence
Slots: max · state (spread or reading) · 5 dimension rows (canonical) · each = label + low + high + (avg, when reading) · optional ghost{low,high,avg} for M12 · optional epoch label(s).
Geometry contract. Identical row template to rubric-survey: 220px label column, 32px gap, fixed-height 420px container divided into 5 rows by flex: 1 (84px per row), 955px container cap (matches the chip-spread chart cell on slide 21 so slides 18, 20, 21 share the same body width, slide 19 keeps 1100px for the dot grid), 5 chips at 10/30/50/70/90% of the scale width with chip dimensions 32 × 32 px on a 6px-radius square. The mulberry avg chip on slide 21 is 32px tall, ~36px min-width to fit the decimal score. Body top y=302, bottom y=722 across all four family slides. This is what makes the rubric on slide 18 the legend for the chips on slides 20 and 21.
Use. M01 slides 20 (state=spread) and 21 (state=reading) of the baseline family per /specs/m01-m12-baseline-family.md. Pairs with evidence-callouts on slide 21 via the .chip-spread-with-evidence wrapper. M12 reappearance fills the ghost slots (ghost-lit chips, ghost avg, ghost spread bar, ghost connector) and expands the evidence column to paired quotes.

Dimension histogram

Governance
n=27 · mean 2.4 · median 2
9
1
5
2
9
3
1
4
3
5
Tooling
n=29 · mean 2.6 · median 3
7
1
5
2
12
3
2
4
3
5
Capability
n=37 · mean 2.6 · median 3
8
1
6
2
16
3
6
4
1
5
Data infra
n=34 · mean 3.0 · median 3
4
1
6
2
11
3
11
4
2
5
Culture
n=31 · mean 3.4 · median 3
0
1
5
2
14
3
6
4
5
5
Classes: .dimension-histogram · .dimension-histogram-card · .dimension-histogram-name · .dimension-histogram-summary · .dimension-histogram-bars · .dimension-histogram-col · .dimension-histogram-bar · .dimension-histogram-bar.score-1 through .score-5 · .dimension-histogram-count · .dimension-histogram-tick
Slots: max · rows (one per dimension, each with label, n, mean, median, buckets[max]) · optional caption.
Use. Cohort score distribution per dimension, all dimensions side by side. Bar height is bucket count normalised to the largest bucket in the row, expressed via the --h custom property (percentage). Colour follows the canonical 1..5 readiness ramp.

Evidence callouts

Classes: .evidence-callouts · .evidence-callout · .evidence-callout-head · .evidence-callout-label · .evidence-callout-dim · .evidence-callout-avg · .evidence-callout-quote · .evidence-callout-quote.ghost · .evidence-callout-pair
Slots: 1 or 2 callouts · each = dim + avg + 1-2 verbatim quotes · optional ghostQuotes for M12 paired view.
Use. Slide 21 of the baseline family per /specs/m01-m12-baseline-family.md. Right-side column paired with dimension-spread on the left.

Heatmap

PNACDVSORO
Capability31121
Culture21111
Governance11111
Classes: .heatmap · .heatmap-corner · .h-1 through .h-5 intensity cells
Slots: row labels (dimensions, 3 to 8) · column labels (participants or periods, 4 to 10) · values (1 to 5 integer) · optional caption
Use. Dimension × participant distribution. Shows spread, alignment, outliers. Pairs with aggregate-reveal as detail.

Radar chart

Capability Culture Data Governance Tooling
Baseline readiness · 16 participants × 5 dimensions
Classes: .radar-chart · .radar-chart-svg · .radar-ring · .radar-spoke · .radar-polygon · .radar-vertex · .radar-vertex-value · .radar-axis-label · .radar-range
Slots: axes (3 to 7 labels) · max (scale, usually 5) · points (one value per axis) · optional range band (min/max polygons) · optional caption
Use. Aggregate-reveal detail for the "shape of the room" moment. D01 baseline readiness profile is the canonical instance. Pairs with the bar-chart distribution detail and the carousel per-participant evidence detail across a 3-slide arc.

Activity card

● In session · live capture
Silent work. 15 minutes on the clock.
Classes: .activity-card · .activity-card-header · .activity-card-prompt · .activity-card-time · .activity-card-in-session · .live modifier
Slots: prompt (one sentence, participant voice, imperative) · optional time pill · optional live flag · optional body · optional steps
Rule. Prompt is always participant voice. Facilitator cues belong in the runbook, never here. No "What you'll do" eyebrow on participant deck.

Concept canvas

Strategy
VisionD02
Architecture
CanvasD06
Execution
BlueprintsD08
Scale
RoadmapD12
AI Operating Model
Classes: .concept-canvas · .canvas-grid · .canvas-quad · .canvas-comp · .canvas-centre
Slots: 4 quadrants (titles) · each with 2 to 4 components (label + deliverable ID + one-liner) · optional centre token
Use. Strategic framework slides. The AI Operating Model canvas (M01), the Decision Rights canvas (M07), the Sequencing canvas (M11).

Framework

The Opportunity Space

What counts as an opportunity under the AI Vision?

Idea
Unvalidated. Aspirational. Not yet scoped.
Opportunity
Vision-aligned. Scoped. Sized.
Initiative
Committed. Resourced. Named owner.
Classes: .framework · .framework-title · .framework-subtitle · .framework-items · .framework-item · layout modifier via data-layout attribute
Layouts: 3-col · split · timeline · stack · matrix (rubric-survey with 1 to 5 scale) · single-question
Slots: title · optional subtitle · 2 to 8 items (label + body). Matrix layout triggers the rubric-survey sub-block with dots + anchor text.
Source. Framework content authored in Section 13 Frameworks of brand.html, extracted to JSON via scripts/extract-brand-frameworks.mjs.

Ceremony statement

The cohort commits to build a working AI operating model across twelve weeks, measured, evidenced, and owned.
Alex Chen
CEO Signed 2026-04-18
Classes: .ceremony-statement · .mulberry/.slate accent · .ceremony-body · .ceremony-principal · .ceremony-pip (.filled when signed)
Slots: body (1 to 3 sentences, declarative) · principal signer (name + role + date) · optional cohort pip counter (one per participant, fills as signed)
Use. Founding Statement, mandate signing, lock-in moments, closing commitments. Ceremony slides must feel weighty: full-bleed, serif body, quiet type.
Variant, short-body. Auto-applied when the body is under 120 characters. Renders the body as centred Gelasio display (32px) rather than justified paragraph. Used on lock-in ceremonies ("This is your starting line. Do you accept it?") where the body is a single commitment question, not a full statement.
Variant, long-body. Auto-applied when the body is 600 characters or more. Renders the body in two CSS columns with paragraph-aware breaks so the full institutional statement (founding statement, leadership mandate, commissioning statement; ~400-600 words) packs into the slide's vertical budget. The principal signature panel below the body stays visible inside a 100dvh canvas instead of clipping below the fold. The renderer wraps each blank-line-separated paragraph in <p class="ceremony-paragraph"> with break-inside: avoid so columns flow between paragraphs, not across them. Mobile collapses back to single column.
Variant, document. Read-back layout for closing-ceremony slides where the cohort absorbs what was signed earlier in the module rather than witnessing the signing live. Body becomes the visual hero in serif body type with generous space; the live countersign panel collapses into a single byline at the foot ("Signed in session · 17 January 2026 · James Hartley, Sponsor · 17 cohort countersignatures"). Triggered by source_ref.view = "readback" on the slide row. Mutually exclusive with short-body. Compatible with long-body, a long readback uses two-column flow inside the document hero.

Mandate preview card

Classes: .mandate-preview-card (button, click target) · .mandate-card-caption · .mandate-card-body · .mandate-card-fade · .mandate-card-foot · .mandate-card-signature · .mandate-card-affordance
Slots: deliverableLabel (small caption) · body (full markdown) · principal (signer pinned bottom) · affordance (default 'Read the full mandate') · slideId (modal pairing).
Use. D03 Leadership AI Mandate on M03. Replaces the raw two-column dump of authored prose with a deterministic, fixed-aspect ceremony card. One field, two surfaces. The card never grows past the slide footer; the modal never shows in print.

Programme arc

M01
Baseline
M02
Thesis
M03
Opportunity
M04
Canvas
M05
Workflow
Classes: .programme-arc · .arc-module (with .current modifier) · .arc-mid · .arc-mname
Slots: all 12 modules, one current. Each module = id + short name. No phase colouring at this scale.
Use. "Where we are in the programme" markers. Appears at the end of every module as S12-S14 progress marker.
Variant, readback. Closer slide of a module (S14/S15/S16/S17/S20 depending on length). The current module's chip renders as past rather than current; the wrap gains a readback class. The strap reads "{currentId} complete · {done} done · {ahead} to go" instead of the opener's "With N in the room". Triggered by source_ref.mode = "readback" on the slide row. Mirrors the ceremony-statement document mode pattern, visual treatment signals the temporal shift from forward-leaning (opener) to backward-leaning (closer).

Arc preview columns

ALIGN
M01Baseline
M02Thesis
BUILD
M04Canvas
M05Workflow
EXECUTE
M09Playbook
M12Commissioning
Classes: .arc-preview-columns · .arc-preview-col · .arc-preview-phase · .arc-preview-row (with .current modifier)
Slots: 3 phase columns (Align, Build, Execute) · each column lists its modules · current module highlighted
Use. S02 "Welcome & Arc Preview" opening slide. Gives the cohort a teaching-grid view of the full 12-module arc.

Deliverable band

What M02 produces 2 deliverables · Strategy stream
D02

AI Vision

↳ Feeds 6 later deliverables
D03

Leadership AI Mandate

↳ Builds on D02
Classes: .deliverable-band · .deliverable-band-head · .deliverable-cards · .deliverable-card · .dc-top · .dc-code · .dc-status · .dc-name · .dc-foot (with .dc-strong)
Slots: label · range · cards (id, name, footPrefix, footStrong, footSuffix) — all hydrator-derived from programme_deliverables and the dependency graph.
Use. Sits inside the programme-arc opener ("Where We Are"), one card per deliverable the module produces. Six fixed tracks keep card size constant from M02 (2 cards) to M12 (6).

Live workspace

TIME REMAINING
15:00
● ready
3 / 7 complete 22 / 35 scores received
Capability
Culture
Data infrastructure
Governance
Tooling
Classes: .live-workspace (with data-state="pre-start|live|late|time-up") · .live-workspace-timer · .live-timer-display · .live-timer-pulse · .live-timer-start · .live-progress-metric (.live-progress-metric-primary/.live-progress-metric-secondary) · .live-row · .live-dot (.pending/.filled)
Slots: mode · timer (display string) · durationSeconds · timerLabel · dimensions (3 to 8) · participants (full cohort, alphabetical) · caption · live (engagementId, deliverableId, assessmentType, statsEndpointUrl, pollIntervalMs).
Live mode. Renderer injects a self-contained JS island that polls get-live-readiness-stats every 3s, updates the dot grid + the two header metrics, and drives the local countdown. Start button gates the countdown; once started the slide moves through data-state live → late (last 5 min) → time-up.
Motion. Live pulse animates 2000ms cubic-bezier(0.16, 1, 0.3, 1) opacity. Dot state transitions 150ms. No bounce, no shimmer.
Use. Live scoring moments. Hero + detail grid composition. Pairs with S07-style rubric on the previous slide (same dimensions, same participant count).

Code demo

Score the opportunity against the six levers. 1 to 5 per lever. Evidence required.
Classes: .code-demo · .code · .caption
Slots: code (one prompt or instruction, quoted verbatim) · optional caption
Use. Prompt-library slides (M10 S07 Live Demo Prompt Library) where a specific prompt or instruction is shown verbatim for the cohort to work from or study.

Cohort grid

Alex Chen
CEO · Sponsor
Priya Nair
Head of Ops
Tom Renshaw
CFO
Sam Okafor
Head of Growth
Rachel Osei
Head of People
Daniel Voss
Principal Advisor
Pierre Habib
setmode.io Facilitator
Classes: .cohort-grid · .cohort-tile · .anchor modifier · .cohort-tile-name · .cohort-tile-role
Slots: anchor-top tile (CEO/sponsor) · middle tiles (participants) · anchor-bottom tile (facilitator). Each tile = name + role.
Use. M01 "The Room" opening slide. Also any slide that needs a cast list with a sponsor anchor and facilitator anchor bracketing the participants.
Layout variants: default (up to 10 tiles, full size) · compact (up to 100 tiles, dense grid, use for large-cohort rosters and team-mode member walls).
Compact variant. Renders up to 100 names in a dense auto-fill grid. Each tile is one line: name plus optional short role tag.
Alex Chen
CEO
Priya Nair
Ops
Tom Renshaw
CFO
Sam Okafor
Growth
Rachel Osei
People
Daniel Voss
Advisor
James Hartley
Partner
Alex Chen
CEO
Priya Nair
Ops
Tom Renshaw
CFO

Cohort streams

Work streams Champion
Sales 10
TH
Thorsten Hellwig
SM
Siyath Majeed
HN
Hitesh Naik
AG
Ariel Gumabao
Developer 10
JG
Jim Geovedi
RR
Ruwan Rajapaksha
KA
Kasun Arunasinghe
Unallocated 2
PN
Priya Nair
DT
Daniel Tan
Classes: .cohort-streams · .cohort-stream-axis-row · .cohort-stream-legend · .cohort-stream-band (modifier: .unallocated) · .cohort-stream-head · .cohort-stream-tiles · .cohort-stream-tile (modifiers: .dense for cohorts > 30 members; .cols-2 / .cols-3 / .cols-4 on .cohort-streams for 4-6 / 7-10 / 11+ bands)
Slots: executiveSponsor · axisLabel · groups[] (each: name · count · champion · members[] · unallocated?).
Champion treatment. Champion is the first tile in each band, mulberry left border. Name appears once (in the tile, not repeated in the band header). A small legend under the axis label decodes the swatch.
Unallocated band. Always last. Dashed top border, muted name, count chip retained so the gap size reads. Sponsors and champions without an allocation appear here with their role accent preserved. Spans the full grid width when auto-grid is active.
Auto-grid. Renderer applies .cols-2 / .cols-3 / .cols-4 based on band count, so 4-15 streams fit one viewport without per-slide overrides. 1-3 bands stay stacked vertically.
Use. Cohort slide grouped by an axis. Reuses across work_streams and value_streams; the hydrator decides which axis from source_ref.view. Renderer auto-applies .dense when total members > 30 so 50+ names still fit one viewport.

Aggregate reveal

WEAKEST
1.0
Governance
Lowest across the room · 7 participants
Capability
1.57
Governance
1.0
Tooling
2.0
Classes: .aggregate-reveal · .aggregate-hero · .accent-mulberry/.accent-clay/.accent-sage/.accent-slate · .aggregate-hero-label/-value/-name/-caption · .aggregate-detail wrapper
Slots: hero (label + value + name + caption + accent) · detail (any supporting block, bar chart or heatmap are the current options)
Hero values. Numeric (1.0, 74%) or evocative glyph (1→3 for a range, 0 for zero spread). Gelasio display, accent colour. Label in caps. Name in Inter bold. Caption italic.
Use. Aggregate-view slides where the room needs to FEEL the headline before scanning the distribution. The hero tells the story; the detail gives context.
Variant, stat-row-hero. Replaces the single hero with a three-stat row above the detail. Used on per-participant walkthroughs (M01 Evidence Walk-through) where the cohort average, the weak-score percentage, and the participant count frame the per-person detail below.

Register grid

15 of 28 locked 13 open
Align
D02AI Vision
D05Value Stream
Build
D07Workflow Library
D15Governance
Execute
D12Prototype 01
Commission
D26Stakeholder Comms
Classes: .register-grid · .register-grid-summary · .register-grid-cols · .register-grid-col (data-phase) · .register-grid-cell.locked/.not-yet (data-category) · .register-grid-badge · .register-grid-name
Slots: none, the hydrator assembles the grid from ctx.allDeliverables and ctx.cohortDeliverableStatus.
State. locked = engagement has rows in that deliverable's typed content table (computed server-side via deliverable_status_for_engagement()). not-yet = no rows. Binary only; in-progress is not displayed.
Use. M08-S14 (mid-build CEO review), M11-S12 (pre-scale review), M12-S07 and M12-S08 (commissioning). Supersedes the overflow-prone 28-row clean-table pattern.

Prior deliverables

Built so far
D02
AI Vision
The statement the strategy serves. Rationale, target state, explicit boundaries.
Locked · M02
D05
Value Stream Selection Decision Log
The chosen stream plus the alternatives weighed against it.
Locked · M03
Classes: .prior-deliverables · .prior-deliverables-eyebrow · .prior-deliverables-grid · .prior-deliverable-card (with data-category) · -badge/-name/-summary/-module
Slots: deliverables (array of Dnn ids) · optional eyebrow
Accent. Derived from category_id on programme_deliverables. Strategy and change use mulberry, workflow uses sage, tooling and measurement use clay, governance and scaling use slate.
Use. Module openings (typically S03 after cover + arc) that surface prior cohort work. Enforces the compound-learning mandate: every module opens on built artefacts, not an abstract concept.

Probes list

Peer review rubric
  1. Does the thesis name who it serves and what changes for them?
  2. Does it name the boundary, the work this thesis will not cover?
  3. Does it commit to a target state measurable by a specific date?
Classes: .probes-list · .probes-list-eyebrow · .probes-list-items · .probes-list-item
Slots: 3 to 4 numbered questions · optional eyebrow · rendered in Gelasio italic so the rubric reads as a prompt, not a headline
Use. Emitted by the carousel, clean-table and aggregate-reveal hydrators when the primary block's schema carries a matching probes key. Sits below the primary block separated by a dashed rule.

Operating principles intro

Operating Principles

Eight principles.
Each grounded in institutional research.

Eight structural findings on organisational AI value, drawn from surveys of more than 30,000 executives across 16 institutions between 2023 and 2026.

Classes: .op-principles-intro · .op-principles-intro-eyebrow · .op-principles-intro-headline · .op-principles-intro-lead
Slots: optional eyebrow · headline · optional lead. Mirrors the principles.html hero so the public page and the deck open the same way.
Source. Headline + eyebrow on the programme_slides row. Lead text falls back to the operating_principles framework subtitle in §13.

Operating principle

01

Tool deployment does not create value

88%
of organisations use AI regularly in at least one function
17%
attribute 5% or more of EBIT to generative AI

72% of CIOs report breaking even or losing money on AI. Corporate AI investment reached $252.3 billion in 2024. The technology works. The returns are governed by something else.

McKinsey State of AI (Nov 2025, n=1,993) · McKinsey State of AI (Mar 2025, n=1,491) · Gartner CIO Survey (May 2025, n=506)
Classes: .op-principle · .op-principle-num · .op-principle-title · .op-principle-evidence · .op-principle-reinforce · .op-principle-sources · per-variant subtree under .op-{variant}.
Variants: pair · ratio_callout · vlist · versus · transform_twist · alignment_consequence · yoy_rows · dominant_secondary. Each variant maps one principle's data shape to one visual template.
Source. All eight items authored as a single framework operating_principles in §13. Extracted to JSON via scripts/extract-brand-frameworks.mjs. Resolver: $framework.principle(operating_principles, N).

Using the block library

A block is always consumed by a recipe. The recipe decides which blocks, in what order, filled from which data source. Recipes live in workspace/supabase/functions/_shared/recipes/. Adding a new block here means adding a new pattern to brand.css first, then documenting it in this section, then referencing it from whatever recipe needs it. Nothing should render inside a setmode document that isn't a block in this library.

13 · Frameworks

Brand frameworks

The visual IP the programme teaches. Each framework is authored once here; a build script extracts to structured data that module deck renderers consume. Change a framework in this page and the decks pick it up on the next build.

The Opportunity Space

What counts as an opportunity under the AI Vision?

Idea
Unvalidated. Aspirational. Not yet scoped or sized. Valuable as signal; not a commitment.
Opportunity
Vision-aligned. Scoped. Sized. A real option the room can evaluate and rank. Three example shapes: a decision that took a human hour gets drafted in a minute. A document the firm produces every week gets generated against the house style. A pattern buried in client data gets surfaced for every leader on Monday.
Initiative
Committed. Resourced. On the path. Owned by a named person with a named deadline.

What this is. What it is not.

Read it once. Decide if you are in.

This is
This is not
A working programme that produces twenty-eight deliverables your organisation owns at the end
A training course or a series of workshops
A working build of the structures your organisation will run AI through
An audit of where you sit against your peers
A twelve-week build with a signed founding statement and a measured commissioning
Something that runs without your time, your evidence and your signature

Return On Operating Model

This is the one you build. 12 weeks.

Deliverables.
28 named outputs across 7 categories. Each carries the name of the leader who built it.
Prototypes.
2 working AI workflows in live operations. The first demonstrates the pattern. The second proves it repeats.
Rhythm.
An operating cadence {{cohort.client_name}} runs from week 13. It compounds.

How the room holds itself.

Three commitments. They hold from week 1 through week 12.

The room builds the model.
setmode brings the framework. The room produces the content. What the room builds, {{cohort.client_name}} runs.
The signature is the commitment.
The CEO signs the Founding Statement. Functional leaders sign their sections. A signature converts a draft into a deliverable.
The work compounds.
Every module produces a deliverable. Every deliverable enters the operating model. The operating model compounds across 12 weeks.
The most senior voice in this room is the one with the most specific observation.

Individual vs Institutional Intelligence

The operating model gap is the distance between them.

Individual
Knowledge in heads.
Walks out the door.
Institutional
Knowledge in the system.
Compounds forever.
Individual Intelligence
The capacity of each person to work faster with AI tools. It grows with the person, improves with the person and belongs to the person.
Institutional Intelligence
The collective compounding capability of the organisation, encoded in shared systems, owned across functions, persistent over time.
Where most organisations are
After the programme
AI as individual tools
AI as operating infrastructure
Knowledge stays with the individual
Knowledge compounds in shared systems
Scattered adoption, informal governance
Governed capability across functions
Strategy and execution separated
Strategy and capability built simultaneously
Consultant dependency, fragile capability
Institutional ownership, permanent capability
Starting again after every departure
28 named deliverables compounding from session one
The organisations building an AI-enabled operating model are accumulating structural advantage with each passing quarter.

The AI Operating Model

What does an AI operating model actually contain?

D02 · AI Vision
What the firm is trying to become, not just buy.
D05 · Value stream
The one process the firm redesigns with AI first.
D06 · Canvas
Ownership, decision rights, rhythms, escalations written down.
D07 · Workflow library
Each workflow mapped with its human checkpoints.
D08 · Blueprints
Two workflows documented to production-ready standard.
D09 · Use cases
Quantified portfolio across time, money, risk, quality.
D10 · Prototypes
Two live deployments in production.
D12 · Scaling roadmap
From prototype to programme, sequenced.

Intent Before Opportunity

Why does intent come before opportunity?

Without intent
Opportunities multiply. Choices are random. Value leaks across scattered bets that never compound.
With intent
Opportunities filter. Choices align to the thesis. Value compounds because every deliverable strengthens the one before.

AI Vision

A vision is not a strategy. It is the statement the strategy serves.

A vision
Advisory margins have compressed 7 points. We will build the firm where partner judgement compounds at the margin rather than where output volume wins the quote. Today named. Three years from now named. Humans Decide named.
Not a vision
We will use AI to improve efficiency and enhance customer experience. Names no Today. Names no Three years from now. Names no Humans Decide line. Nothing the firm could disagree with.

Strategy and Vision

The layer that moves and the layer that stays.

Strategy
What the organisation will do.
The layer that moves.
Vision
What the organisation is becoming.
The layer that stays.
Without a vision, every AI decision is taken on first principles.

Work Stream and Value Stream

The function you keep and the work you redesign.

Work Stream
The function you came in with.
Your home through M03.
Value Stream
The work the programme redesigns.
Your unit from M04.
From M04 the room works by Value Stream, not by function.

From Function to Flow

Why this is a change of posture, not just a change of teams.

Optimise the flow, not the step
A function makes its own step faster. A Value Stream improves the whole journey to the customer. Speed up one step alone and the bottleneck simply moves.
Design the handoffs
Value leaks where work passes between functions. The Value Stream makes those handoffs the thing you design, not the thing you inherit.
Own an outcome you share
You work with Members who do not report to you, toward a result none of you owns alone. The posture moves from defending a function to delivering a flow.
AI inside a function moves the bottleneck. AI across a Value Stream moves the outcome.

The Mandate

What is the mandate, and why does it need signing?

Contains
Scope of authority, accountability and decision rights. The room knows exactly what they may choose.
Binds
The CEO to resource the work. The Value Streams to deliver it. Neither side can quietly step away.
Excludes
The unbounded remit. Mandate is a line the Value Streams do not cross without going back to the Sponsor.

The Three Horizons

What are we choosing between: now, next, later?

Now · 0–3 months
High confidence, narrow reach. The prototype that ships in this programme.
Next · 3–12 months
Medium confidence, wider reach. The workflow the Value Streams carry into the quarter.
Later · 12+ months
Lower confidence, highest ambition. The organisational reshape the thesis aims at.

The Operating Model Canvas

What does an operating model actually look like on a page?

Ownership
Who is accountable for each deliverable, named.
Decision rights
Who approves what, and at what authority level.
Rhythms
The cadences at which review, update and audit happen.
Escalations
When and how exceptions route upward.
Resources
Named tools, named budget, named people.
Constraints
The lines this operating model does not cross.

Accountability as Structure

Why does accountability need to be designed, not declared?

Declared
"We'll be accountable." Aspirational language. No named owner, no logged decision, no review rhythm. Accountability in theory.
Designed
Named owner. Named decision right. Named escalation. Logged. Reviewed at a known cadence. Accountability in practice.

Workflow as Architecture

What is a workflow, and why does it need architecture?

Task
One step. One person. Done in minutes. A single unit of work with no decisions and no handoffs.
Process
A sequence of tasks with known inputs and outputs. Still linear. No branching on context.
Workflow
End-to-end. Decision points. Exceptions. Interfaces between roles. The actual shape of work once AI is embedded. Every workflow names five components. Trigger, AI tool, human checkpoint, output, governance note. An AI tool is any software component that produces output using AI: a plugin, an integration, a custom service. A human checkpoint is the named review point where a person reads AI output and makes a call before it travels.

Quantified Value

What does 'value' mean when we say a use case has it?

Time saved
Hours per week, per engagement or per deliverable. Measurable and stackable.
Money
Revenue won, cost avoided, margin recovered. In currency, not percentage.
Risk reduced
Incident count, exposure window, compliance gap. Fewer things that could break.
Quality gained
Accuracy, consistency, senior-review pass rate. What the client or reviewer notices.

Governance Sequencing

Why does governance follow use cases, not precede them?

Governance first
Theoretical risks. Blanket policies. Adoption blocks before any real work has been tried. Everyone waits; no one learns.
Use cases first
Real risks visible in live work. Governance designed against what actually happens. Policies earn their authority by responding to evidence.

Architecture as Portfolio

What does a portfolio view reveal that individual views can't?

Individual view
Each participant's architecture looks complete on its own. Their function is covered. Their deliverables hang together.
Portfolio view
Same work rendered across the Value Streams. Gaps emerge (functions no one owns). Overlaps emerge (two teams building the same thing). The architecture gets real.

Playbook vs Prototype

Why does scoping precede building?

Prototype
What we build inside the programme. Code. Prompts. Workflows. A working demonstration of the thesis in one place.
Playbook
What survives the programme. Pattern. Principle. Template. The thing someone uses Monday morning without the facilitator in the room.

Deployability

What does 'it works' actually mean?

Works
Produces the intended output on real inputs, reliably enough to trust.
Safe
Fails in ways you can tolerate. Respects data boundaries. Won't embarrass the firm.
Supportable
Someone knows how to maintain it who isn't the person who built it. Documented.
Adoptable
Users will actually use it. Fits the work. Easier than the old way within the first few tries.

Scaling Is Sequencing

Why copying isn't scaling.

Copying
Same prototype cloned across teams. Breaks at the edges where context differs. Governance lags behind. The Value Streams revert.
Sequencing
Prototype → pattern → playbook → programme. Each layer generalises. Governance keeps pace. The Value Streams compound.

Commissioning

What does it mean for this system to be commissioned?

Architecture ratified
All 28 deliverables signed off. The CEO has said "yes, this is what we've built."
Ownership named
Every deliverable has a named owner who is not the facilitator. The operating model has left the programme.
Capability self-sustaining
The next quarter's work is scheduled and resourced by the firm, without needing the facilitator to convene it.

The Alumni Network

What does alumni mean for the room?

Alumni
Ratified practitioners, not students. The firm commissioned the work; you built it. You graduate as architects of your own operating model.
Network
Peer support across firms. Alumni from other programmes encounter the same questions six months later. The network is where those answers live.
Pledge
An ongoing commitment: to share, to review, to help future programmes. Alumni is a position, not a certificate.

AI Readiness: Baseline Rubric

How ready are you, with evidence?

Capability
1, no named practitioners. 3, pockets of use, untaught. 5, documented practice, trained Value Streams, audit trail.
Culture
1, AI seen as threat. 3, quiet curiosity, no permission. 5, AI-use is expected, signalled from the top, normalised.
Data infrastructure
1, knowledge in heads and inboxes. 3, some systems, weak retrieval. 5, institutional knowledge queryable, governed, current.
Governance
1, no policy. 3, informal guidance, no enforcement. 5, written policy, named owners, escalation paths, audit.
Tooling
1, consumer accounts only. 3, enterprise licences, no workflow integration. 5, integrated stack, procurement discipline, measured ROI.

What Changes Next Week

What will you do with this baseline between now and M02?

1 · Draft your strategic thesis
150 words. What kind of organisation does this firm intend to become with AI. Specific enough that a competitor couldn't sign it.
2 · Name one off-limit
One thing AI will not do in this firm. Write it in a sentence. Explain why.
3 · Come back with evidence
One client, one engagement, one workflow, where the thesis is testable. Due before session opens.

Your Operating Model Canvas

Fill each zone with your current state, target state and named owner.

Ownership
Who is accountable for each component today. Who will be accountable at target. Named person, not role.
Decision rights
Who approves what today. Who approves what at target. Authority level named for each.
Rhythms
The cadences that exist today. The cadences that must exist at target. Frequency and purpose for each.
Escalations
How exceptions route upward today. How they must route at target. Trigger and named recipient per path.
Constraints
The lines the operating model does not cross. Today and target. Explicit, not implied.

Your Workflow Canvas

Map one workflow end to end. Six fields, every field named.

Trigger
What starts this workflow. The event, the input, the request.
AI tool
Which tool does the work. Name the tool, the version, the configuration.
Human checkpoint
Where a human reviews before output is released. Who, what they check, what fails.
Output
What the workflow produces. The artefact, the format, the destination.
Governance note
The policy that covers this workflow. The data class, the risk, the mitigation.
Owner
The named person accountable for this workflow running safely.

The Use Case Brief Rubric

Six sections. Every section passes the CFO test before the brief is complete.

Problem
Named, specific, with the workflow it lives in. Not a category, a concrete friction.
Solution
The AI workflow proposed. The tool, the checkpoint, the output. Specified, not sketched.
Effort
Hours to build. Hours to run per week. Ongoing cost. Named.
Value
Time, money, risk, quality. Quantified. Estimation method stated.
Risks
What could fail. How it would be noticed. Specific, not generic.
Mitigations
For every risk, the control in place. Human checkpoint, data boundary, escalation.

Value, Under Challenge

Present the value claim. The room probes. The estimate survives or it changes.

The claim
The value your use case produces. Time saved, money made, risk reduced. With the number, the unit and the estimation method.
The probe
Three tests every estimate faces. Named unit economics per user, per week or per transaction. Named comparable benchmark the number can stand next to. Named uncertainty range the estimate survives within. Where the estimate breaks.

Your Prototype Scope

Name what you will build, what you will not. Six fields.

Target workflow
The one workflow the prototype delivers end to end.
Inputs
What the prototype consumes. Format, source, owner.
Outputs
What the prototype produces. Format, destination, quality bar.
First prompt
The opening instruction given to the AI. One paragraph, specific.
Dependency
What must exist for this to work. Data, access, tool, permission.
Out of scope
What this prototype will not do. Named explicitly, so the boundary holds.

AI In Your Organisation Today

Silent capture. The room sees the themes, not the names. Honesty lands here or in the board report later.

Tools
The AI tools your people use today. Name them. Paid accounts, personal accounts, embedded features. Include employees using external AI tools without IT approval. Vendor tools that embed AI without disclosure.
Data
The data your people put through those tools. Client material, internal documents, personal information. Include automation touching client data without a named reviewer.
Checkpoints
Where a human reviews before output leaves the firm. Where no checkpoint exists today. Include anything branded AI used without a named owner.

Your Governance Canvas

Five sections. Every section named with specifics, not principles.

Decision rights
Who approves AI deployments. Who approves new tools. Who approves new use cases. Named.
Risk categories
The categories of AI risk this firm holds. Data, factual, reputational, regulatory. With thresholds.
Escalation paths
When an incident occurs, who gets the call. Name, role, phone. Paths for each risk category.
Data handling
Which data classes can flow through which tools. Approval level per tool per class.
Review cadence
How often the framework is reviewed. Who reviews it. What triggers an interim review.

Your Playbook Scope

One playbook per function. Six fields name what it contains and what it does not.

Target function
The function this playbook serves. The named owner on receipt.
Workflows in scope
The specific workflows covered. Referenced from the validated library, not paraphrased.
Prompts
The prompt library entries attached. Named by id. One per covered workflow minimum.
Governance
The governance checkpoints that apply. The sections of the framework referenced.
Tools
The approved tools. The configuration guidance. The data classes each handles.
Worked examples
One end-to-end example per covered workflow. Real inputs, real outputs, real checkpoints.

Scope, Under Challenge

Present the scope. The room probes. What is missing. What is over-scoped.

The scope
The target function, the workflows, the prompts, the governance coverage. As you have it written today.
The probe
Three tests every scope faces. Does it hold at M10 demo day. Does it name a measurable output. What cuts first if the deadline slips. Where the boundary is too wide or too narrow.

The Demo Rubric

Three minutes. Four things a demo must show.

Input shown
The real input the prototype consumed. On screen, not described.
Output shown
The real output the prototype produced. On screen, with quality notes.
Handoff shown
The human checkpoint. Who reviewed. What they changed. What they approved.
Peer question
One question from the room at the end. Answered in one minute or noted for follow-up.

Your Scaling Roadmap

Place every initiative in Now, Next or Later. Every item has a named owner.

Now · 0 to 3 months
What the firm deploys in the next quarter. Named owner. Resource committed. Dependency cleared.
Next · 3 to 12 months
What the firm builds across the year. Named owner. Sequenced against the Now initiatives it depends on.
Later · 12 months plus
The longer reach. Named owner per initiative. Signalled now so budget and talent arrive in time.

The Six Levers

Every opportunity lives on one of these. Name the lever first, the opportunity second.

Revenue
New revenue won. Existing revenue protected. Margin recovered at the top line.
Cost
Cost avoided. Cost removed. Hours out of the run rate.
Risk
Incident exposure reduced. Compliance gap closed. Fewer things that could break.
Speed
Time from trigger to output shortened. Decisions reached faster. Queues cleared.
Quality
Accuracy gained. Consistency gained. Senior review pass rate improved.
Talent
Senior time reclaimed. Junior capability compounded. Hiring or retention helped.

What Moves To The Top

Five criteria. Rank the shortlist. Defend the top. Defend the bottom.

Value
Size of the payoff in the chosen lever. Quantified or best-estimated.
Effort
Hours to build. Hours to run. Dependencies cleared or outstanding.
Fit to thesis
Sharpness of match to the D02 thesis. High, medium, low.
Risk of delay
What gets worse if this slips a quarter. What compounds if this lands this quarter.
Owner readiness
The person who would own this today. Their current capacity. Their current commitment.

Self-Sustaining, Under Challenge

Walk every item in silence. Where all three are absent, the room sees the count, not the case. Thin rhythm lands here or in the operating review later.

The claim
Your roadmap. Every initiative, its owner, its cadence, its review point. As you have it today.
The probe
Three things every item must have. A named owner, first and last name. A named cadence with real dates. A named review point, not a meeting. Rewrite until the roadmap runs without external help.

Operating Principles

Eight structural findings on organisational AI value, drawn from surveys of more than 30,000 executives across 16 institutions between 2023 and 2026.

Tool deployment does not create value
The operating model determines the return
Governance precedes deployment
Workflow redesign produces the most value
People adopt what they understand
Alignment converts investment into capability
The advantage compounds
Structure sustains capability

More frameworks land here as the authoring pass proceeds. The module deck pipeline reads this section; every new <article class="framework"> becomes renderable across all 12 modules where it's referenced by slide data_source.