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Most of the room talks about AI in a language you cannot spend money on. I answer in yours, and prove it with working systems, not decks.
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Read the research firstI have been making technology legible for twenty years: first for retirees who had never touched a computer, then as founder of a software house shipping secure systems for Orange and EDF.
Today, an independent advisor to executives carrying a question no one else in the room wants to admit they cannot answer.
What do we do with AI first, in what order, and why?
I build a working system on your own data. You leave knowing what is possible.
A paid audit, I interview your team and review your key processes. I deliver a plan as a proper business proposal.
Ongoing counsel, strategy, prototypes, working systems, until your team runs it without me. That's the exit criterion.
Building momentum and handing over the wheel back to you
I run experiments before I give advice. Vendor demos are built to impress. I run systems long enough to find out what breaks.
The only way to know whether AI works is to run it. So this practice publishes its failures.
The translator's thread
Found a BASIC programming book for the MO5. Where it starts.
My first computer. Disassembled it 3 months later to understand how it worked.
Learnt C and C++. Small 3D games with OpenGL from 2002.
Building and selling PCs in a computer shop in Grenoble during week-ends.
Teaching computer basics to retirees. My first translation job, making something opaque usable for people who felt locked out.
Built Linux from scratch (LFS Project). The discipline of knowing every layer you stand on.
Graduated from ENSERG (Grenoble INP). Then years on embedded systems and embedded Linux at Freescale.
Co-founded a software development agency and led its 15 people. On-premises, secure software for broadcast (Orange / Globecast) and energy (EDF). An industry where "it works" is not an acceptable answer.
Advanced Stack. I help companies figure out whether AI can actually work for them: working prototypes on their own data first, advice after the evidence.
For
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