Free diagnostic

AI Governance Health Check

A local-in-browser self-assessment of practical AI governance. It is not legal advice, certification or a substitute for a context-specific risk assessment.

Current self-assessment score

0/100

Early-stage controls

0 of 10 questions answered. This is a self-assessment, not certification or independent assurance.

Inventory

Material AI use cases are inventoried with owners and purpose.

Risk

AI uses are classified by consequence, autonomy and data sensitivity.

Data

AI data sources and confidentiality/privacy restrictions are understood.

Evaluation

High-impact AI is evaluated against task-specific criteria before deployment.

Oversight

Human review and escalation are explicit for consequential decisions.

Agents

AI tools/agents use least privilege and approval gates for high-impact actions.

Suppliers

Material model/provider dependencies and contractual risks are reviewed.

Change

Material model, prompt, tool or workflow changes are versioned and retested.

Incidents

AI failures, complaints and misuse have an incident/escalation process.

Value

AI use cases are periodically reviewed for actual value, cost and continued justification.