AI governance structure
Define who can use which models, sources and workflows.
AI Act compliance / AI governance
AI Act readiness requires controlled and documented AI infrastructure.
AI Act compliance is not only a legal question. It also depends on how models, data, prompts, logs, access rules and human oversight are deployed. A private AI platform can make these controls easier to define and verify.
Audit and documentation
Document deployments, data sources, model choices and operational responsibilities.
Controlled risk surface
Reduce uncontrolled external data transfers and centralize sensitive AI usage.
AI Act ComplianceAI GovernanceResponsible AITrusted AICompliance ReadyEnterprise SecuritySecure AIAudit AI
Related strategic topics
Continue to adjacent pages covering cost, sovereignty, compliance, RAG and local deployment.