For regulated and consequential environments
AI governance for complex enterprises and public organisations
Large organisations rarely lack policies. They lack a complete view of AI in use, consistent ownership across functions, comparable evidence and a governance rhythm that survives changes in systems, suppliers and regulation.
Create an enterprise view
Bring built, bought and embedded AI into a consistent inventory that connects business purpose, architecture, data, suppliers and accountable owners.
Integrate existing control functions
Align AI governance with legal, privacy, security, procurement, enterprise architecture, data governance, risk and internal audit.
Scale evidence by consequence
Define a proportionate path from low-risk use through consequential and potentially high-risk systems, with clear escalation points.
Establish recurring oversight
Create governance forums, metrics, reassessment triggers and executive reporting that remain usable after the initial programme.
AI governance consulting · Data governance consulting · Fractional AI governance · EU AI Act readiness · AI governance training · Dansk
Contact ARKAI at info@arkai.dk to request a scoping call.