Twelve weeks. Nine institutional assets. One AI-enabled operating model — owned by your organisation, compounding long after the programme ends.
Across mid-market organisations, the same pattern emerges. People adopt AI tools individually. Productivity climbs for a few. The organisation stays flat. No shared system. No compounding capability. No competitive advantage.
The problem is structural. AI deployed as a point solution at the individual level produces individual results. An AI-enabled operating model produces institutional capability.
That is a different thing entirely.
| Where most organisations are | Where setmode takes you |
|---|---|
| AI as individual tools | AI as operating infrastructure |
| Knowledge evaporates with people | Knowledge compounds in systems |
| Scattered adoption, no governance | Governed capability across functions |
| Insight without architecture | Nine artifacts that outlast the programme |
| Consultant dependency | Organisation owns the model |
Each phase builds on the last. Each week produces an artifact. By Week 12, the organisation owns a fully operational AI-enabled model.
Establish the strategic foundation. Map AI opportunity across the organisation. Define the operating model and governance principles. Build shared language and leadership alignment.
Weeks 1–4Design the systems. Build the AI workflow library. Develop function-specific use cases. Create the governance framework and intelligence layer architecture.
Weeks 5–8Activate the model. Build the AI-enabled playbook. Deploy the first working prototypes. Establish the rhythms and governance structures that sustain capability after Week 12.
Weeks 9–12Every session produces an artifact. Every artifact connects to the next. By the end, you have a complete AI operating model — not a report. A system.
AI opportunity mapped across six organisational value levers. Prioritised, owned, actionable.
The architecture of the AI-enabled operating model. The strategic blueprint for everything that follows.
CEO-level mandate defining AI intent, governance principles, and organisational commitment.
A curated library of validated AI workflows mapped to each function. Ready to deploy.
Function-specific AI use case briefs with business case, implementation path, and governance notes.
AI governance structure covering risk, compliance, data, and decision rights. Built to scale.
The operational playbook for running an AI-enabled team. Prompts, workflows, rituals, escalation paths.
At least two functional AI prototypes built and validated within the organisation's actual workflows.
The 90-day plan for embedding capability after Week 12. Rhythms, ownership, compounding logic.
The programme is designed for organisations with the structure to act on what they build. Revenue between $15M and $250M. A senior leadership cohort of 8 to 20 participants. CEO sponsorship from day one.
Founder, setmode.io. [Bio to be added — background in AI strategy and organisational capability building, experience with mid-market leadership teams across Southeast Asia and beyond.]
The programme is built on the principle that structure is the value. Every session, every artifact, every rhythm is designed to compound. When the programme ends, the capability stays.
The programme runs in cohorts. Places are limited and require a qualification conversation. If you are ready to build, get in touch.