AI Governance Readiness Assessment

We have a documented AI strategy aligned with organizational goals

Leadership understands AI capabilities and limitations

We have defined acceptable use cases for AI

We have documented AI ethics principles

Bias detection and mitigation processes are in place

We conduct impact assessments before deploying AI

Data quality standards are defined and monitored

Data privacy and consent frameworks are implemented

Data lineage and provenance tracking exists

Human-in-the-loop processes exist for high-stakes decisions

Clear escalation paths for AI system failures

Regular human review of AI outputs occurs

AI decision-making processes can be explained to stakeholders

We document model limitations and failure modes

Stakeholders are informed when interacting with AI

Clear ownership exists for each AI system

Audit trails are maintained for AI decisions

We track regulatory requirements for AI

AI-specific risk assessment frameworks are used

Incident response plans exist for AI failures

Regular stress testing of AI systems occurs

Staff have adequate AI literacy training

Cross-functional AI governance team exists

Continuous learning programs for AI governance exist