AI Governance Readiness Scorecard
Ten questions, about two minutes. Get an instant maturity score, benchmarked against the EU AI Act, NIST AI RMF, ISO/IEC 42001 and, for banks, SR 11-7, with your three priority actions.
- 10 questions
- About 2 minutes
- Instant score and recommendations
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0/100
- InitialAI is being used without the basic foundations of governance. The priority is visibility: know what AI you run, who owns it and which rules apply.
- DevelopingSome foundations are in place, but they depend on individuals and manual effort. The priority is to make governance consistent and repeatable.
- DefinedYou have a defined governance program. The priority is to automate controls and evidence so it scales with your AI and agents.
- AdvancedYour governance is mature. The priority is to keep pace with new regulations and agentic AI, and to prove it continuously to regulators and your board.
Your scores by area
EU AI Act risk classification · NIST AI RMF Map · ISO/IEC 42001 · SR 11-7 model inventory
EU AI Act governance and AI literacy · NIST AI RMF Govern · ISO/IEC 42001 policy and roles
EU AI Act risk management and impact assessment · NIST AI RMF Map and Measure · ISO/IEC 42001 risk and impact assessment
EU AI Act human oversight and post-market monitoring · NIST AI RMF Manage · SR 11-7 ongoing monitoring
EU AI Act documentation and record-keeping · ISO/IEC 42001 internal audit · supervisory examinations
Your three priority actions
- AI inventory & classification. Build a single inventory of every AI system, model and agent, including third-party and generative AI tools, give each a named owner, and tier them by risk so effort goes where the risk is.
- Policy & accountability. Approve an AI policy and acceptable-use standard, name accountable owners, and set up a governance forum with clear decision rights and regular reporting to leadership.
- Risk & impact assessment. Introduce a tiered risk and impact assessment that every AI use case and AI vendor passes before go-live, covering bias, privacy, security and model risk.
- Controls & monitoring. Put production monitoring, incident handling and human approval thresholds in place, and give AI agents identity-based permissions and complete audit trails.
- Evidence & regulatory readiness. Collect evidence automatically as work happens (approvals, tests, monitoring) and map it to the regulations you face, so you can answer a regulator or auditor in days, not months.
Turn this snapshot into a plan
Our six-week AI Governance Readiness Assessment gives you a full inventory of your AI systems and agents, risk tiering, a maturity baseline against the regulations that apply to you, and a prioritized roadmap with a business case.
This scorecard is a self-assessment for guidance only. It is not legal advice or a formal audit.