AI Governance Readiness Report
This is an example of the free report you receive on completing the assessment. Figures are illustrative and informational only.
Target threshold 70
What you report as in place, before evidence adjustment.
Based on response consistency and supporting evidence.
- 58%Documented
- 30%Self-reported
- 12%Missing
What this assessment indicates
Your organization demonstrates its strongest practices in security & operations (74), placing overall maturity at the defined stage with moderate residual risk. The most material exposure is in monitoring & improvement (48). Closing these foundational gaps in inventory, accountability, and production controls will reduce operational, regulatory, and reputational risk as AI adoption expands.
Governance domain performance
Score out of 100 · benchmark 70Established capabilities
- Security & operations (74)
- Vendor & third-party (70)
- Governance & ownership (63)
Material governance gaps
- Monitoring & improvement (48)
- Inventory & use-case mapping (55)
- Transparency & human oversight (58)
Priority remediation roadmap
Sequenced over the next 90 days, highest-impact gaps first.
- P0inventoryCreate and maintain an AI system inventory
- P1dataEnforce access control before indexing RAG content
- P1transparencyDefine human review and override for material AI outputs
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Assessment basis
What this score is built on.
Responses are checked for consistency and aligned to the selected frameworks.
Framework coverage
Indicative roll-up. Control-by-control mapping is in the full report.
How your domains map to the frameworks
Indicative, domain-level mapping — the control-by-control crosswalk lives in the dedicated assessments and the full report.
| Domain | EU AI Act | ISO/IEC 42001 | NIST AI RMF |
|---|---|---|---|
| Governance & ownership | Art. 9, 17 (risk & quality mgmt) | Clause 5–6, A.2–A.3 | GOVERN |
| Inventory & use-case mapping | Art. 11, 49 (docs, registration) | Clause 4, A.4 | MAP 1.6 (inventory) |
| Data governance | Art. 10 (data governance) | A.7 | MAP / MEASURE (data) |
| Security & operations | Art. 15 (robustness, cybersecurity) | A.6 / security | MEASURE 2.7 |
| Vendor & third-party | Art. 25 (value chain) | A.10 | GOVERN 6 (supply chain) |
| Transparency & human oversight | Art. 13, 14, 50 (transparency, oversight) | A.8–A.9 | Accountable & Transparent |
| Monitoring & improvement | Arts. 72–73 (post-market, incidents) | Clause 9–10 | MANAGE 4 (monitoring) |
Go deeper — recommended next assessments
This governance check is broad and cross-framework. For a control-level result, continue with a dedicated assessment — start with NIST AI RMF, where your indicative coverage looks weakest.
Profile your system across NIST AI RMF — Govern, Map, Measure and Manage — with the GenAI profile.
Start assessmentBuild the ISO/IEC 42001 management-system view across all nine AIMS domains and certification prep.
Start assessmentGo deep on EU AI Act applicability, operator role, risk classification and conformity duties.
Start assessmentGet your own report in 10–15 minutes
Run the free assessment to see your real scores, gaps, and prioritized recommendations.