AI governance is moving from policy statements to evidence trails.
The strongest signal across the sector is a shift from ambition to proof. Boards and control functions will increasingly need to show who owns AI-enabled decisions, how models and vendors are challenged, and where resilience evidence lives when supervisors ask for it.
- Translate AI strategy into named accountabilities, control evidence, and escalation paths.
- Look for weak points where cloud, data, model, and third-party dependencies meet.
- Use incidents and enforcement themes as rehearsal material for executive challenge.