How enforceable is your organization's AI governance?
Most leaders know whether they have AI governance. Far fewer know which parts are actually working. This assessment maps your operational maturity across five governance layers and surfaces the gaps that are hardest to see from inside the organization.
Questions8
Time3 minutes
OutputWhere you stand + where to focus
Five Governance Layers Assessed
01
Risk-Tiered Capability Boundaries
Classify use cases by risk and define what each AI system can and cannot do.
02
Constraint Encoding
Whether governance requirements are structural deployment gates or advisory documents.
03
Human-Authority Mechanisms
Risk-based human review, override authority, and escalation paths.
04
Behavioral Monitoring
Traceability, post-deployment detection, and containment when issues appear.
05
Policy Versioning & Testing
How governance evolves as AI use changes across the organization.
1 of 8
Your results are ready
Enter your work email to see your governance posture score, layer-by-layer status, and weakest layer identification.
Your email is used to deliver your results. No spam.