Your people are already using AI.
The operating model is where it compounds.

Individual capability grows with every tool deployed. The AI Operating Model Programme converts that into institutional systems: twelve weeks, twenty-eight deliverables, one operating model your organisation owns permanently.

0 Weeks
0 Deliverables
0 Anchor workshops
The Problem

Individual capability is real. Institutional capability is the work still ahead.

Inside most organisations today, AI adoption is advancing. Individuals are experimenting, productivity is growing, and the results are real and measurable. The next question is structural: how does individual capability become the organisation's capability.

Individual Intelligence is 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 is the collective, compounding capability of the organisation: encoded in shared systems, owned across functions, persistent over time. The operating model gap is the distance between them.

Where most organisations are After the programme
AI as individual toolsAI as operating infrastructure
Knowledge stays with the individualKnowledge compounds in shared systems
Scattered adoption, informal governanceGoverned capability across functions
Strategy and execution separatedStrategy and capability built simultaneously
Consultant dependency, fragile capabilityInstitutional ownership, permanent capability
Starting again after every departure28 named deliverables compounding from session one

The organisations building an AI-enabled operating model now are accumulating structural advantage with each passing quarter.

Operating Principles

Eight principles. Each grounded in institutional research.

01 / 08
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)
02
The operating model determines the return
10
·
20
·
70
AlgorithmsTechnology and dataPeople and process
High-performer investment ratio. 70% of AI implementation challenges are people and process problems. Most organisations invert this ratio.
2.5x
higher revenue growth for organisations with AI-led processes
BCG Where's the Value in AI (Oct 2024, n=1,000) · Accenture Reinventing Enterprise Operations (Oct 2024, n=2,000)
03
Governance precedes deployment
18%
have an enterprise governance council with authority over AI
28%
have a CEO directly responsible for AI oversight
12%
of Fortune 100 boards disclosed AI education or training
CEO oversight is the element most correlated with higher EBIT impact. Among high performers, nearly half of senior leaders show clear ownership. Among the rest, 16%.
McKinsey State of AI (Mar 2025, n=1,491) · McKinsey State of AI (May 2024, n=1,363) · EY / Harvard Law School Forum (2025)
04
Workflow redesign produces the most value
Redesigned workflows
25–30%
productivity gains
55%
of high performers have reworked processes
Tool deployment alone
10–15%
productivity gains
4+
tools per worker: gains reverse, errors rise 39%
McKinsey State of AI (Mar 2025, n=1,491) · Bain Technology Report (2025) · BCG / HBR (Mar 2026, n=1,488)
05
People adopt what they understand
15%
55%
Positive employee sentiment when leadership support is present
25%
of frontline employees receive that support. The gap is about what is communicated, not how often.
Accenture Pulse of Change (2026, n=7,000) · BCG AI at Work (Jun 2025, n=10,635) · WEF Future of Jobs (Jan 2025)
06
Alignment converts investment into capability
95%of senior executives report investing in AI
14%have aligned workforce, technology and business goals
The 14% who achieve alignment are three times more likely to have a fully implemented change management strategy.
42%
of companies abandoned the majority of AI initiatives in 2025
Kyndryl People Readiness (May 2025, n=1,000+) · S&P Global 451 Research (2025, n=1,006)
07
The advantage compounds
Revenue growth
over laggards
1.5x
1.7x
EBIT margin
over laggards
1.4x
1.6x
Three-year total
shareholder return
1.6x
3.6x
20242025
The gap widened on every measured dimension. Only 7% of organisations have fully scaled AI.
BCG Where's the Value in AI (Oct 2024, n=1,000) · BCG The Widening AI Value Gap (Sep 2025, n=1,250)
08
Structure sustains capability
51%
frontline regular AI usage
stalled
78% for managers. The gap is structural.
36%
of employees believe their AI training is sufficient. 18% of regular AI users received no training at all.
What disappears is the operating rhythm. Designed during the programme, it inherits authority. Designed after, it rarely establishes.
BCG AI at Work (Jun 2025, n=10,635) · WEF Future of Jobs (Jan 2025)
The Programme

By Module 12, your organisation holds 28 deliverables across seven categories.

Each is operational infrastructure: present in your systems, owned by named people, in use from the day after the programme ends. Strategy and capability are built simultaneously. The roadmap lands in an organisation already capable of acting on it.

Who It's For

Designed for leadership teams ready to build.

The programme is for organisations where AI adoption is already happening at the individual level. The next question is structural: how to convert that capability into institutional systems. CEO sponsorship is required from the first session.

What the right engagement requires

CEO sponsorship from the first session. This is a leadership initiative, owned at the top.
A cohort of senior leaders across functions, building one shared system together.
Commitment to producing real outputs in every session: named deliverables, built in the room.
Willingness to name what the organisation can realistically deliver and commit to that.
Full IP transfer from session one. The model belongs to the organisation permanently.
Pierre Habib, Founder of setmode.io
The Facilitator

Pierre Habib

Founder, setmode.io

Pierre's career is defined by one consistent capability: the ability to see how systems should be structured so that the people inside them do their best work, regardless of which individuals are present.

That capability took shape across corporate leadership at Citi in multiple geographies, experience design at Eight Inc., fintech ecosystem development, and ventures across Southeast Asia. Each context was different. The design challenge was the same: how does an organisation build capability that compounds after any individual leaves the room.

setmode.io is the answer to that question, applied to the most significant organisational design challenge of this decade. The programme is designed to make itself unnecessary. The organisation takes over on the day it closes.

Built on eight operating principles derived from institutional research →

Let's Talk

The next step is a direct conversation.

Whether you are ready to commit to the programme, deciding on timeline, or want to understand what the right engagement looks like for your organisation: start here. Pierre reviews every enquiry personally.

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