Give people a shared language for what AI changes.
I speak with organizations, AI teams, universities, and events that need to make AI's concrete effects discussable: who verifies, who decides, who recovers, and under what conditions delegation remains responsible.
To place these talks in context, read the about page.
Recent appearances
Public and professional formats designed to build a shared language between leaders, domain experts, prevention teams, students, AI teams, and product teams.
- UNEP - French landscape companies association
- CCI
- Université Paris 1 Panthéon-Sorbonne
- Préventica
- Cinov Ingénierie
- Foire Agricole de Bras-Panon
- French Tech Réunion
Claim-Action-Evidence: Making Silent Agent Failures Visible
2025-03 · AI Lab Internal OffsiteTurning real agent failure traces into evaluation and post-training signal: false completions, runtime misperception, recovery, and operational truth.
When AI Agents Enter Real Work
2025-02 · Large French Industrial Group - AI Transformation CommitteeWhat agents redistribute in organizations: verification work, responsibility, coordination, supervision, and concrete recovery conditions.
Start with the work situation
For talks, strategic discussions, or collaboration on AI agents and real work systems, email me directly. If the topic is still fuzzy, the guided request helps shape the useful context.