ai-governance-assessment

AI governance maturity assessment automates scoring across eight domains, mapping controls directly to NIST AI RMF, EU AI Act, ISO 42001, and OCC SR 11-7 frameworks to identify compliance gaps. It generates board-ready reports for remediation planning.

AI governance maturity assessment evaluates strategy, risk, data governance, model lifecycle, transparency, fairness, security, and human oversight. It applies framework alignment and gap analysis to produce structured remediation guidance for regulated enterprises.

Board-ready AI governance reports are produced by running an intake questionnaire that scores eight maturity domains and maps them to major governance frameworks. Results persist to SerenDB for historical tracking and follow-up assessments.

SerenDB persistence captures AI governance assessment scores and framework mappings over time, enabling historical tracking. The provided database schema ensures maturity results and remediation plans are stored for continuous follow-up.

AI governance assessment explicitly covers model lifecycle and fairness alongside transparency, security, and human oversight domains. It scores these areas against leading frameworks to deliver targeted gap analysis and remediation recommendations.

Automated AI governance assessment requires runtime execution of an intake questionnaire and database persistence via a specific schema. It provides maturity scoring and gap analysis but requires organizational context to accurately evaluate compliance readiness.