Four profiles, one shared question: moving from AI experimentation to an operating system.
AI shows up at every floor of the enterprise — but the stakes, responsibilities and levers differ depending on whether you carry strategy, infrastructure, the business or the transformation. This page clarifies how the practice supports each of these profiles, and where to enter depending on your role.
What this page is not.
To avoid any marketing reading, three precisions.
- 01Not a page of made-up personas — each profile maps to real counterparts we meet on engagements.
- 02Not a promise of outcomes — the value of an engagement depends on context and is built during the diagnostic.
- 03Not a rigid grid — most projects involve several of these profiles working together.
To make AI compatible with your stack, your security posture and your technical debt.
You sit on the front line of AI's arrival into the organization. You must arbitrate between SaaS vendors, sovereign models and in-house components; secure data; keep control over dependencies; and design an architecture that does not become technical debt in twelve months.
The challenge isn't picking an AI tool — it's designing the target system, so that every agent, automation and copilot fits into a common, governed architecture.
Where to start
- Agentic Operating Blueprint — architecture engagement
The most structuring engagement to formalize the target architecture.
- Sovereignty & governance
- Agentic architecture — manifesto
To shape an AI ambition without over-investing, and to arbitrate between dozens of candidate POCs.
You need a decision framework, not another tool pitch. You want to understand where AI can create value in your organization, on what horizon, with which risks, and in what sequence.
The challenge is prioritization: which initiatives to launch first, which to defer, which to discard — with a reading that holds in front of the board and in front of the teams.
Where to start
- AI Opportunity Mapping — strategic diagnostic
The recommended entry format to frame the ambition before any heavy commitment.
- Method — Agentic Operating Blueprint
- Use case typologies
To turn an operational need into an agent that fits into the daily work of your teams.
You own the performance of a function — sales, operations, support, finance, HR. AI doesn't interest you as a technology; it interests you as a way to solve a specific operational problem.
The challenge is to scope a use case that speaks to your teams quickly, test it in real conditions, and decide whether it is worth scaling.
Where to start
- Documented business use cases
Five typologies to find the one closest to your situation.
- AI Sprint — short entry format
Right format when the need is clear and a quick prototype is required.
- Method — Prioritize phase
To orchestrate the move from experimentation to system, in coordination with the CIO and the business.
You are the junction point between strategy, IT and the business lines. Your mandate is to bring scattered initiatives into a coherent system — without breaking what works, without slowing the momentum, without giving in to the pressure of tool-first thinking.
The challenge is to build a credible trajectory: prove through early cases, structure through method, govern through the right bodies.
Where to start
- Method — Agentic Operating Blueprint
The shared methodological framework to align on.
- Build & Run Partner
To operate the agentic system over time, alongside the teams.
- Agentic architecture
Whatever your profile, the first step is the same: a scoping conversation.
A one-hour diagnostic call qualifies your situation, points to the entry format best suited to your role and priorities, and answers your questions about the practice.