AI-generatedScreens job candidates with AI — a high-impact use on personal data — with limited fairness testing and appeal mechanisms.
- Maturity
- Emerging
- Report type
- Sample · illustrative
Overall AI governance maturity is emerging with critical 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.
- 32%Documented
- 68%Self-reported
- 0%Missing
What this assessment indicates
Your organization demonstrates its strongest practices in governance & ownership (49.3), placing overall maturity at the emerging stage with critical residual risk. The most material exposure is in monitoring & improvement (6.7). 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
- Governance & ownership (49.3)
- Data governance (48.8)
- Security & operations (42.1)
Material governance gaps
- Monitoring & improvement (6.7)
- Transparency & human oversight (8.7)
- Vendor & third-party (9.2)
Priority remediation roadmap
Sequenced over the next 90 days, highest-impact gaps first.
- P0securityAdd misuse/abuse controls to public AI endpoints
- P0securityAddress prompt-injection risk in design reviews
- P0transparencyProvide a human escalation path for affected users
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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.
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