AI deployment
Your AI works in the demo. We put it into production.
We put AI into production for large companies and for the AI vendors who sell to them, from the value test to daily use. A first measured result within a few weeks, at a fixed price.
Done in our own companies first: Openstone prepares its presentations and reports with AI, reviewed by the team. Livret P runs its payments and checks on its own, day and night, on a regulated platform.
Why the demo does not reach production
What is usually missing is everything around the model.
Nobody can check what it says
The answer sounds right, but nothing shows where it comes from. Nobody dares let it answer a customer.
Nobody knows what it costs
The cost of each answer is not tracked, or compared with the same work done by hand.
It was tested on chosen examples
Not on the real documents, nor on the hard cases the team sees every week.
Nobody has taken it on
The team that should use it was not involved, and goes back to its files.
Three steps, each with its success criterion
You decide on the next step at the end of each one, on the figures.
Value test
A few weeks, fixed priceWe take one real task: what it costs today, what the AI must do, and the figure that will say whether it worked. Deliverable and criterion are written before we start. If the gain is not there, you know before going further.
Pilot
With the people who use itWe build all of it, from your own documents to the answer, and run it on real work with the team. Every answer cites its source and is checked against your hard cases before each release.
Production
Your team takes overIt runs every day and the cost of each answer is tracked. Your team is trained, everything is written down, and they take over.
Who we work with
You sell AI to large companies
Your customers sign, then the deployment waits. Hiring your first Forward Deployed Engineer, the engineer who sets your product up at the customer, takes months. Meanwhile we run one or two deployments at your customers, from the value test to production. Then we hand over to the person you hire.
You are bringing AI into a large company
Several pilots were launched and none is used every day. We take one, on a task that matters, and carry it to production with your teams, within your security rules.
What we have already put into production
Our proof comes from our own companies, in regulated businesses: funds, payments, compliance. That is where we learned to put into production work that must be right every time.
Openstone / Regulated investment platformPresentations and reports prepared with AI, in the house style, reviewed and approved by the teamTo the cent every amount calculated for every investor€50M raised in 2025, its first full year, on a platform built to what private banks requireRead the Openstone case 
Livret P / Regulated savings app20,000 savers served by a small teamDay and night payments and checks run on their own99.9% of the time onlineRead the Livret P case Our rules on every deployment
A real task, never a demo
We measure on your work, with your documents and your hard cases.
Every answer cites its source
Your team can check where any answer comes from.
The cost is tracked from day one
Each answer has a cost, compared with the same work done by hand.
A plain rule where a rule is enough
AI only where it pays. Sometimes the right answer is a rule or two tools connected.
Book 20 minutes.
Tell us in one sentence which AI you want in production. We answer you ourselves.
Thank you.
We will read your message and come back to you with a time.