AI Governance Decision Lab
Decide how much autonomy, oversight and control is appropriate.
How much autonomy should this AI have, and who is accountable when it's wrong?
Governance is a set of decisions, not a document. This lab decides the level of autonomy an AI system is granted, where approval gates sit, and who owns the outcome.
A decision, not a lecture
A short, intensive session built on the ADAAS decision method — scenario, choice, consequence, debrief, artifact. You don't listen to a talk; you make the call under realistic constraints and defend it.
- Classify decisions by consequence
- Set autonomy levels for each class
- Place human-in-the-loop checkpoints where they matter
- Assign clear accountability
A decision, a rationale, an artifact
You leave with a Governance Decision Matrix: autonomy, oversight and accountability mapped to each class of decision.
Every ADAAS session ends the same way: a decision, the rationale behind it, and an artifact your organisation can act on and defend.
Who should be in the room
Risk, compliance, security and technology leaders setting the rules AI operates under.
More in Decision Labs
Make a better AI decision — before the bigger bet.
Bring your team to a Decision Lab, or talk to us about running one inside your organisation.