AI-generatedRuns an internal-only employee copilot that can call tools, with tight access control and strong security, monitoring, and incident response.
- Maturity
- Managed
- Report type
- Sample · illustrative
Overall AI governance maturity is managed with low residual risk — strongest where controls are established and most exposed where foundational gaps remain.
Get a real, tailored report for your organization in about 12–18 minutes — free.
This is the free report. The full report is a 40-page comprehensive deep-dive — control-by-control gap analysis, framework mapping, and a prioritized remediation roadmap.
Target threshold 70
What you report as in place, before evidence adjustment.
Based on response consistency and supporting evidence.
- 96%Documented
- 4%Self-reported
- 0%Missing
What this assessment indicates
Your organization demonstrates its strongest practices in security & operations (92.5), placing overall maturity at the managed stage with low residual risk. The most material exposure is in monitoring & improvement (46.7). 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 (92.5)
- Data governance (89.4)
- Governance & ownership (86.8)
Material governance gaps
- Monitoring & improvement (46.7)
- Transparency & human oversight (77.5)
- Inventory & use-case mapping (81.2)
Priority remediation roadmap
Sequenced over the next 90 days, highest-impact gaps first.
No actions in this window.
No actions in this window.
- P2monitoringReview AI output quality and business impact after deployment
- P2monitoringCapture AI incidents, complaints, and failures
- P2transparencyMake important AI outputs traceable to system/owner/version
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 ISO/IEC 42001, where your indicative coverage looks weakest.
Build the ISO/IEC 42001 management-system view across all nine AIMS domains and certification prep.
Start assessmentProfile your system across NIST AI RMF — Govern, Map, Measure and Manage — with the GenAI profile.
Start assessmentGo deep on EU AI Act applicability, operator role, risk classification and conformity duties.
Start assessmentWant a report like this for your organization?
This is a fictional example of the free report. Run the free assessment for your own tailored report, or book a demo to see the full 40-page comprehensive report with control-by-control analysis and framework mapping.