AI Governance Readiness Checker
Assess whether your AI use case has sufficient governance controls for enterprise deployment. Get a readiness score, risk level, and prioritized list of missing controls.
Use Case Context
Customer-facing, handles PII, or influences moderate decisions
Governance Controls
Human review / approval gate★★★
A human reviews or approves AI outputs before they affect decisions, users, or systems.
Designated AI system ownerRequired★★
A named individual or team is accountable for the AI system's behaviour and outcomes.
Fill in the controls and click Assess
Your governance readiness score, risk level, and missing controls will appear here
AI Governance Principles
- Start with criticality, not compliance. The right controls depend on what's at stake — a customer chatbot and an autonomous loan decision system are not governed the same way.
- Audit logs are non-negotiable for regulated use cases. Without a decision trail you cannot investigate complaints, prove fairness, or respond to regulators.
- Human-in-the-loop slows automation but reduces liability. For high-stakes decisions (medical, financial, legal) a human review gate is the most effective single governance control.
- Prompt versioning prevents silent regression. A changed system prompt is a changed AI system. Treat it like a code deployment.
- The EU AI Act (2025) mandates conformity assessments for high-risk AI. High-risk categories include biometric ID, credit, employment, education, law enforcement, and critical infrastructure.