01
Phase 1
Strategic framing
Understanding your context, your ambitions, the regulatory and operational constraints. Identifying the AI levers relevant to your business.
AI Strategy & Roadmap
An AI trajectory your team can defend.
Building an actionable AI roadmap: prioritising the workstreams, setting the indicators, making the case for the business case. To decide with full visibility, not under the pressure of ambient noise.
The observation
Plenty of AI intentions, few sustainable trajectories.
Proofs of concept pile up. Budgets fragment. Teams chase technology announcements with no strategic heading. The result: a lot of activity, little transformation.
An AI strategy isn't a list of use cases. It's a reasoned prioritisation logic, a legible governance framework, a decision file your stakeholders can carry without wavering.
That's what we build together.
The methodology
Four phases, a committed trajectory.
A structured protocol to move from intuition to decision, and from decision to execution.
02
Phase 2
Prioritising the workstreams
An impact / feasibility matrix, a logical sequencing between quick wins and structural workstreams. You know what to do first, and why.
03
Phase 3
Steering & governance
Defining the tracking indicators, the decision bodies, the review points. A simple, legible AI governance that holds over time.
04
Phase 4
A reasoned business case
Explicit assumptions, scenarios costed at the point of commitment, identified risks. A file your decision-makers can defend.
Deliverables
What you receive.
Four documents built to be defended in committee, not to end up in a drawer.
AI roadmap
A reference document setting out the trajectory, the prioritised workstreams and the key milestones.
Business case
A structured rationale for decision-makers: stakes, scenarios, assumptions, expected returns.
Governance framework
Steering indicators, decision bodies, review cadence. A clear steering mechanism.
Implementation plan
Operational sequencing of the workstreams, dependencies, required resources, first deliverables.
What you gain
Clarity where activity reigns.
Four structural benefits the roadmap brings to your organisation.
A clear direction
You step out of the decision fog. No more isolated PoCs that go nowhere, no more AI workstreams that stall: a committed trajectory.
Equipped trade-offs
Each workstream is positioned on its value, its effort, its risk. Trade-offs become factual, not political.
Aligned teams
Leadership, business lines, IT: everyone sees the same map. Decisions can be explained and defended internally.
Legibility over time
An AI strategy is only useful if it survives beyond the first presentation. Governance ensures continuity.
Frequently asked questions
What I'm asked most often.
When should this strategy work be done?
Ideally after an initial maturity audit, which provides the raw material. But it isn't mandatory: we can also tackle the strategy with no formal audit, by compressing the framing phase.
How detailed is the business case?
Precise enough to defend an investment decision, without falling into false precision. The assumptions are explicit and revisable.
Does this strategy include the compliance dimension (EU AI Act, GDPR)?
Yes. Compliance isn't a layer added at the end: it's built into the prioritisation of the workstreams and the governance proposed.
What if our priorities change along the way?
An AI roadmap isn't dogma. The governance includes regular review points to adjust the trajectory according to your reality.
Ready to set a real strategy?
Book a discovery call. We assess together whether building an AI roadmap is what you need right now. No commitment.