Self-assessment
AI Governance Readiness Check
Eight questions on how your organisation governs its use of AI. You will get an indicative view across four areas and suggestions for where a closer look may help.
- 8 questions
- About 3 minutes
- No sign-up or contact details
Your answers are used only to calculate your results. They are not stored and are not linked to you. See our privacy notice.
Your indicative results
AI governance readiness
Preliminary and self-reported. These observations are based only on your answers. They are not an audit, a compliance assessment or legal advice, and they do not confirm compliance with the EU AI Act, ISO/IEC 42001 or any other requirement.
Indicative readiness score
0/100
Early stage
Your answers suggest that most AI governance practices are still to be put in place. This is common where AI adoption has moved quickly.
Developing
Some governance practices are in place, but your answers suggest gaps in how they connect and who owns them.
Maturing
Your answers suggest a working governance foundation, with specific areas that could be strengthened.
Well developed
Your answers suggest established governance practices. Independent testing can show whether they work as intended.
Four areas
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Visibility & accountabilityEarlyDevelopingMaturingStrong
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Governance & riskEarlyDevelopingMaturingStrong
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Security & human oversightEarlyDevelopingMaturingStrong
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Monitoring & regulatory readinessEarlyDevelopingMaturingStrong
EarlyDevelopingMaturingStrong
Areas for further assessment
- AI system visibilityA complete view of the AI systems in use is the starting point for most other governance decisions.
- AI use-case approvalA consistent route for proposing and approving AI use helps keep decisions accountable.
- Ownership and accountabilityClear ownership makes it possible to act on risks, incidents and changes.
- AI risk assessmentAssessing AI-specific risks before deployment helps decide which controls are needed.
- Security and privacyAI tools can introduce new data flows and exposures that standard reviews may not cover.
- Human oversightDefined review and intervention points keep people accountable for AI-supported outcomes.
- Post-deployment monitoringAI systems can behave differently over time; monitoring shows when that happens.
- Regulatory and standards applicabilityKnowing which requirements apply clarifies what controls and evidence are expected.
Your answers do not point to a particular gap. An independent review can confirm how well established practices work in practice.
A possible next step
AI Governance Gap Assessment
Your answers point to gaps across several areas. A broad baseline helps set priorities before investing in specific controls.
Read about this engagement →AI Governance & Intake Design
Approval routes and accountability look less settled than other areas. This engagement designs those processes and responsibilities.
Read about this engagement →EU AI Act Regulatory Gap Assessment
It is not yet clear which regulatory requirements apply. A targeted assessment maps applicable obligations to your current controls.
Read about this engagement →AI Lifecycle Security & Compliance Review
Security, oversight or monitoring look like the weaker areas. This review examines controls across the AI lifecycle.
Read about this engagement →AI Audit Readiness
Your answers suggest established practices. Audit readiness helps confirm they are evidenced and would stand up to testing.
Read about this engagement →Want to talk it through?
If you would like to discuss these observations, Łukasz can go through them with you and suggest a sensible next step. There is no obligation.
Scores are indicative and combine your answers across the four areas. “Not sure” is treated as not yet evidenced. Your results stay in this browser tab and are cleared when you leave or reload the page.