Your organization already has people using AI. The question is if there is someone who has decided how, with what criteria and who answers when something fails. That is what we build.
Most of the organizations that come to consulting have gone through the same thing: someone took the initiative to use an AI tool, the rest of the team adopted it by inertia and at some point someone asked “But is this approved?” And no one knew how to answer.
That is the moment when the absence of governance ceases to be an abstraction and becomes a real problem: legal, reputational or simply operational.
The governance of AI is not bureaucracy. It is to be clear about who decides what, with what information and under what criteria. and have it documented to defend it.
An AI Governance Project with Ethiceye includes:
— Current situation diagnosis: inventory of AI systems in use, risk classification according to AI ACT and GDPR, identification of gaps.
— Full use policy: not a page. The document that your organization really needs with real scope, clear criteria and applicable processes.
— Decision structure: Who approves new tools, with what criteria, with what process and in what timeframe.
— Monitoring: How to know if the framework is being used, which indicators to follow and when to review it.
— Accompaniment in the implementation and monitoring of 30 days.
Free initial diagnosis.
For the CEO who needs to be able to respond to his board of directors or to investors how he manages the AI risk in the organization.
For management teams that have to build an institutional framework that the cloister understands, uses and defends.
For the ESG manager who needs to integrate AI governance into the sustainability report before they are required from outside.
For any organization that wants to go beyond minimum compliance and turn AI governance into a real advantage.
An AI governance framework is the set of policies, processes and decision structures that an organization sets to manage the use of AI responsibly. It includes who can approve new tools, what data can be used with AI, how automated decisions are monitored, and how they respond to an incident.
An AI policy sets the rules. A governance framework supports them: it includes the processes to apply them, the people responsible for complying with them and the indicators to know if they work. Politics without governance remains in a drawer. Governance without politics has no basis. Ethiceye builds the two together.
Yes. Organizations that can prove how they manage AI risk, to customers, investors, partners or regulators, have a real advantage over those who cannot. AI governance already appears as an indicator in ESG frameworks such as GRI and ESRS. It’s not just compliance: it’s positioning.
If the answer raises doubts, it is time to build governance. In 30 minutes we make the initial diagnosis.
Response in less than 48h · No commitment
