Sound familiar?
- Some people use AI on their own, each in their own way, with no rules.
- Nobody can say which data can be shared with an AI assistant and which can’t.
- AI answers end up in documents without anyone checking them.
What we do in the classroom
A shared foundation
What to ask AI, which data to protect and how to check sources and errors. For a wide audience, even with no experience.
Process workshops
In smaller groups, organized by role: the team writes a request, reviews the answer and corrects it, then works on a task chosen with your leads, with its steps, exceptions and checks.
Also included
Reusable materials
The materials, exercises and procedures built during the program stay with the team.
Assessment through practice
The final summary separates the skills people demonstrated from simple attendance.
First rollout plan
Responsibilities, human review and conditions for stopping, set with your managers.
Agreed follow-up
Short check-ins after the program: what has been applied and where the team gets stuck.
How we start
The questionnaire
Questions about the team, goals and processes, so we can build a proposal that fits your work.
The proposal
We reply with a few questions or with a program: sessions, format and scope.
Planning the program
We agree on participants, tools, materials, assessments and schedule. In person, online or hybrid.
The sessions
We work on materials that match your roles, from the shared foundation to the first rollout plan.
Your doubts, answered plainly
Nobody on our team has ever used AI.
No experience needed. The questionnaire tells us where the team is starting from, and the program is built on that level.
We don’t want to bring our documents into the classroom.
We start from practice materials that match your roles. A real company case comes in only after authorization, data reduced to what’s needed, human review and a technical test; otherwise we use a synthetic equivalent.
A generic course is no use to us.
And this isn’t one: exercises and procedures are built around the participants’ work, and the depth changes by role.
The questions we get asked
Which tool do we work with?
Mainly Claude, which we use every day in our own work. If your company already uses something else, we’ll assess it together.
How long is the program?
It depends on people, format and goals: length, groups and schedule are set in the proposal.
Does the training help with the AI Act?
The AI Act requires AI literacy measures for people who use AI systems, and training is one of those measures. The obligation is to take measures, not to reach a result.
After the training, can we build a custom system?
Yes. Training can bring up a process worth looking into. Building it requires a separate technical analysis, estimate and engagement, and isn’t included in the training program.
Tell us about your team. We’ll reply with a tailored program.
We start from who’s taking part, how you use AI today and what you want to achieve, with no price list.