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.
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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.
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- 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.
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