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Bordeaux and Nouvelle-Aquitaine, remote across France

Bringing generative AI into your business

Everyone talks about AI, few organisations get a measurable gain from it. I start from your real tasks, identify the few uses that actually save time, and train your teams to use them properly.

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The problem I solve

Two classic failures. The first: buying licences and hoping usage emerges on its own, which never happens. The second: banning AI out of fear, while teams use it anyway in secret, with your data. In both cases nobody is steering. I put a frame back in place: chosen uses, clear rules, measured adoption.

How I work

Mapping the uses

We list your recurring tasks and spot the ones where AI brings a real gain. Many bring nothing, and it is better to know that straight away.

A trust framework

Confidentiality rules, forbidden data, systematic output verification. In a regulated environment this comes before anything else.

Setup

Tools, prompts and templates fitted to your concrete cases. You leave with things that work on your own documents.

Training and follow-up

Your teams learn when to trust an output and when to be suspicious. Then we measure the time actually saved.

Real example

Concrete example: I built a fully automated video production chain where 79 compositions are generated in code and 6 stages (rendering, AI subtitles, quality control, publishing) run end to end without manual work.

Read the case study

Who it is for

  • Leaders who want concrete uses, not a demo
  • Project teams buried in formatting work
  • Organisations under confidentiality constraints
  • Teams already using AI with no defined framework

What you get

  • A short list of use cases with measurable gain
  • Written confidentiality and verification rules
  • Operational tools and templates on your real documents
  • Trained teams, able to judge an output
  • A measure of time actually saved, not an impression

Frequently asked questions

Do we need technical skills?+

Not for everyday uses. For AI application development (API integration, agents), I also work on the technical side.

How do you handle data confidentiality?+

It is the first topic covered. We define what must never leave the company and which tools are acceptable. I apply these rules daily in a banking environment.

Will AI replace my teams?+

From what I observe, no: it removes formatting work, not judgement. Decisions stay human, and that is where the value sits.

How much does it cost?+

On a quote basis depending on scope and the number of people to train. The first call is free.

An AI use case to frame

Book a free first call. We look at your tasks and I tell you straight where there is a gain, and where there is not.