Know every AI system. Bound every decision.
Map AI used for delivery and AI built for production—with criticality, autonomy, ownership, decision boundaries, regulations and escalation paths at a glance.
Delivery tools and production systems in the same governance model.
Distinguish what helps teams build from what makes decisions in production, while governing both.
Purpose and lifecycle
Record whether AI is used for delivery, built internally or operated in production.
Criticality
Classify Critical, High, Standard or Low based on organisational impact.
Autonomy ceiling
Set recommendation, approved execution, supervision or full autonomy.
Ownership and review
Name the Wave Captain, review cadence, regulations and escalation chain.
Autonomy is granted per decision—not per model.
Impact and reversibility establish a safe ceiling. Every decision then declares allowed actions, prohibited actions, escalation triggers and fallback.
Generate deployment recommendation
- Impact
- Medium
- Reversibility
- Reversible
- Granted autonomy
- B · Approved execution
- Fallback
- Human-only review
331 runs · 1.9M tokens · 2 Workhubs
Organisation integration · no observed run
Find AI the organisation forgot to register.
Detect candidates from provider integrations, Workhub configurations and observed AI runs, then prefill a governed cartography entry for review.
Every AI system has a path back to accountable people.
Bring governance into the flow of delivery.
Show us the portfolio, Workhub, AI or evidence challenge you want to solve.