Pilots multiply.
Teams adopt tools and vendors before the leadership team has agreed which business-model pressure AI should address.
Executive AI Strategy Workshops
AI activity is rising. Investment logic is not.
Two focused workshops help your leadership team decide where AI belongs in the business model, which initiatives are worth testing first, and what evidence should govern the next investment decision.
The executive problem
Most AI conversations skip the strategy decision.
Exposure hides.
AI threat, competitor moves, customer expectations, and operating bottlenecks are discussed separately, so the actual strategic exposure remains unclear.
Funding gets noisy.
Without a shared investment logic, the portfolio becomes a list of plausible ideas instead of a sequence of evidence-building choices.
The outcome
A board-ready AI investment point of view.
The decision record
- Arena: the part of the business model in scope.
- Levers: the few strategic pressures that matter most.
- Risk: where AI can weaken or redefine the current model.
- Portfolio: which AI hypotheses deserve the first tests.
- Cadence: who owns the evidence cycle after the workshop.
The work produces a decision artifact your executives can reuse: what was decided, what was rejected, what still needs evidence, and what happens next.
It is not a technology roadmap. It is the investment logic that should come before one.
The method
Two workshops. One disciplined path from diagnosis to first tests.
Diagnose the model.
Clarify the arena, benchmark leaders, select decisive levers, and test the current business model against external pressure and AI threat.
Generate the portfolio.
Create AI hypotheses anchored to those levers, target blocks, and primary metrics. Separate strategic bets from useful optimization work.
Commit to evidence.
Choose the first tests, owners, review cadence, and evidence rows that will determine whether to continue, pivot, park, or scale.
Method spine:
Strategyzer business-model instruments + APQC process grounding + AI-fit scorecard logic.
Best fit
For leadership teams with enough AI activity to need a real investment decision.
You are ready if
AI pilots are already happening, the board is asking better questions, or a strategic opportunity is visible but under-defined.
This is not for
Teams looking for generic AI inspiration, vendor selection, or a technical implementation plan before the strategy decision is clear.
You leave with
A focused AI investment hypothesis, a shortlist of first tests, and an evidence cadence the executive team can govern.
Facilitators
Executive lab energy plus strategy-to-execution discipline.
Limelights
Joost de Leij
Executive AI Labs and leadership activation. Focuses the room on hard questions and practical choices.
Level Perspective
Chris Carlson
Strategyzer-trained method design, decision records, and the cadence that keeps the work alive after the workshop.
Next step