28.04.2026
Everyone wants AI to be governed but very few organisations are asking how. What one may see more and more these days: Every AI use case → goes through the same process → same forms → same reviews → same approvals; Regardless of risk.
The result?
A growing governance backlog. Delays of weeks (sometimes months). Frustrated business teams.And eventually… people bypass governance completely.
That’s not governance. That’s a bottleneck. AI Governance should not slow innovation. It should enable it safely. This is where most programmes go wrong. They design one heavy process, instead of a risk-tiered approach. In practice, not every AI system needs the same level of control:
A low-risk internal tool → should move fast
A customer-facing AI → needs more scrutiny
A high-impact decision system → needs full governance
Same governance framework; Different levels of depth; That’s how you avoid backlog without compromising control.