real diagnosis
What we work
How the AI team uses today. Tools, data, risks. No judgment.
Partial result
Inventory and risk map.
We do not teach how to use ChatGPT. You already know that. We work something that no YouTube tutorial is going to give them: awareness of what they delegate when they use AI without criteria, and what responsibility they have for what they produce.
It is that the organization has, at the end of the program, shared criteria on when, how and why to use AI. A policy that the team understands, accepts and uses from the first day because it has built it from within.
Because if the policy is written by the legal department and downloaded by email, no one reads it. If the team builds it, it becomes culture.
The difference between prohibiting AI and using it with discretion is exactly this program.
It's not about learning about AI. It's about learning to decide with her.
What we work
How the AI team uses today. Tools, data, risks. No judgment.
Partial result
Inventory and risk map.
What we work
Legal risks (GDPR, AI Act), reputational and human. Real cases of the sector.
Partial result
Shared risk framework.
What we work
When and how each person uses AI with criteria. Concrete decisions.
Partial result
Documented criteria per person.
What we work
Points of agreement, data classification, tool approval protocol.
Partial result
Draft usage policy.
What we work
Collective validation. Team signature. Internal communication.
Partial result
Signed and operational use policy.
Optional 30-day session to review how the policy is working on a day-to-day basis and if you need adjustments.
— A policy for the use of co-constructed AI: which tools are approved, with what data, for what uses.
— Internal classification of data by level of sensitivity for use with AI.
— Protocol for the approval of new AI tools (who approves, with what criteria, for how long?).
— The team aligned: Not everyone uses the same AI, but they all share the same criteria.
— Documentation of the training that complies with article 4 of the AI Act.
— Base to update when the regulations change or new tools appear.
No. Ethiceye takes care of all the preparation.
The only thing we ask is that the team participates openly and honestly: bring the tools you actually use, the real questions you have, and the specific situations you have encountered.
There is no pre-work and no required reading.
The purpose of the first session is to understand the organisation as it really is, not as we would like it to be. That is what allows us to build a framework that is practical, relevant and sustainable.
It is the most frequent scenario and the one that benefits the most from the process. The resistance to talking about AI usually has three origins: fear of becoming obsolete, disagreement with values, or saturation of digital initiatives without result. None is resolved with technical training. The Ethiceye program starts from exactly that silence: the first session creates a safe space where rejection also takes place. Resistance is not ignored: it works.
The program works well with companies between 20 and 300 people. Below 20, the process can be simplified. Above 300, it is usually more effective to do it by departments or hierarchical layers. If your company has more than 300 people, we approach it as a strategic consulting: the structure is different but the objective is the same.
Yes, and it is one of the most effective ways. Start with the most motivated department, generate an internal success case and expand from there. The resulting policy can then be integrated into the company’s global policy. If you have this scenario in mind, tell us at the diagnostic call.