The context
Leadership wanted its members to speak the same language about AI and to be able to assess the projects brought to them. One in-person day, for 25 executives and managers, with no technical prerequisites.
The format
Three sessions, each followed by a hands-on workshop.
- Understand, compare, choose. Each participant identifies a use case in their area and picks the right model.
- Produce with AI. Each participant structures a prompt on a real deliverable and tests it.
- Risks, governance and steering. Each participant fills in an initiative sheet ready for decision.
The materials are interactive: live polls from phones, quizzes, several models compared side by side. Each participant leaves with a personal workbook, built from their own contributions during the day.
The results
- 25 participants, in an extended session.
- 12 AI initiatives scoped: use case, data, risks and indicators.
- 15 anonymization exercises and 15 maturity self-assessments.
- An analytical summary handed to leadership.
What the summary showed
- Nearly half of the initiatives involved confidential data, which led to exploring sovereign hosting options.
- The most cited risk was loss of rigor, ahead of data leakage: a sign of a mature perception.
- A comparable share of initiatives considered an internally hosted model.
Well-designed training also produces a diagnostic: leadership leaves with a clear picture of its teams’ maturity and priorities.
Let’s organize a day like this with your executive committee.
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