Data and AI governance
Data is only useful if you know where it comes from, who answers for it and what you are allowed to do with it. We define this framework, then put it in place in your tools.
You know what you are allowed to do, and you can prove it.
Learn more- Data and processing mappingInventory of sources, classification and traceability.
- Governance frameworkRoles, responsibilities, decision-making bodies, quality rules.
- AI use registerUse cases recorded, classified by risk, validated before going into production.
- GDPR and AI Act complianceObligations translated into rules and verifiable controls.
- Usage charter and awarenessSimple rules, applied in the tools and understood by the teams.