For SMEs, mid-sized companies and large groups that already use AI. The right models, the right tools, workflows built with your teams. We leave once they run without us.
AI is everywhere, and it stalls in the same places.
A single general-purpose assistant for every task.
Documents copied and pasted by hand, for lack of proper access.
Individual use, nothing connected to your business tools.
No one really knows what is allowed.
A year later, AI is everywhere. The work itself hasn't changed.
Examples of the changes we aim for, to be defined with you based on your tasks.
Before The ChatGPT level
After The next level
Before 10am an assistant that doesn't know your business.
A tool tuned for your business After 10am every task has its own tool, tuned for your business.
Before 2pm you paste in an internal document and keep your fingers crossed.
Your documents stay protected After 2pm the tool accesses the authorized documents on its own, and nothing else.
Before 4pm you copy the AI's answer into your tools, by hand.
No more copy-pasting After 4pm the workflow runs inside your tools, you approve.
Before 6pm the demo went down well, and your week hasn't changed.
A self-sufficient team After 6pm the workflow runs without us, and your team knows how to evolve it.
We start from what your teams already do with AI, and take them further.
There's a world of difference between using ChatGPT and running a team with AI.
What we do
We measure where your teams stand, task by task.
What you get
A written status report, shared with leadership and the team:
What we do
We choose models and tools, and build the workflows on your own files.
What you get
Written workflows for your tasks:
What we do
We adjust until the team can hold its own without us.
What you get
At each checkpoint, a written decision:
What a decision looks like
Illustrative example — fictional team
An executive, a salesperson and a developer have completely different problems. In a mid-sized company or a large group, all three walk the same hallways.
Leadership teams
We lay out all your initiatives, run each one through the same criteria, and make the call with you.
Business teams
We take the week's work and redo it with AI, sitting right next to your teams.
Technical teams
It's the one we apply to our own code.
Every day, we look at what's coming out: models, tools, papers. Whatever looks serious, we test on our own files until we find where it breaks.
Very few of them change anything for a business. We find out which ones, so you don't have to.
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We code, we train and we sell, every day, with AI in our hands. The first time a model did in thirty seconds what used to take us all day, we dropped everything to understand how, and we haven't stopped since.
Portrait of Rémi Carbonne
He codes and he sells: the two jobs AI is rewriting right now. Might as well practice both every day.
Portrait of Morgan Godard
He knows why a model works, and he knows how to explain it to a room with no technical background.
Portrait of Gabriel Coeffier
Hands in AI-assisted code all day long, on projects that actually ship to production.
Three systems we use today, internally. These are not client cases.
Internal use
The salesperson checks and decides.
The salesperson
AI agents
Internal use
Leadership makes the call.
Leadership
AI agents
Internal use
Developers review and approve.
The developers
AI agents
Simplified diagrams. Connections and access are decided team by team.
With the problem. If no one knows what to launch or in what order, we start by taking a look. If leadership already knows where it's going but nothing is moving on the ground, we start with the teams. In practice, the two often follow one another.
Yes, when something really needs to be coded. It's a separate contract, billed separately: otherwise we'd have every incentive to recommend development to you, and our advice wouldn't be worth much.
All the better, that's one less question. We look at what you have, tell you honestly what it's worth in your context, and work with it. We only recommend a change if the gap is truly significant.
It depends on the work in question: time spent, quality, volume processed, time to production. We set the metrics with you before we start. However, don't count on us to announce a universal percentage gain: that number doesn't exist.
We deal with it at the start, not at the end. With you, we define which uses are allowed, which data can leave, in which tools and under whose responsibility, then we make these rules workable day to day. All of this with your IT department, CISO and compliance leads, starting from the policies already in place.
It's where we come from. Context, tests, code review, security, documentation, production deployment: we do AI-assisted development on our own code every day, and that's what we pass on.
No sales pitch. You tell us where you stand with AI, we tell you how far you can go.
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