ai-governance-assessment

AI governance readiness assessment scores organizational maturity across 8 domains to identify gaps mapped to the EU AI Act and NIST AI RMF. It evaluates governance, risk, data, and model lifecycle practices to produce framework-aligned remediation priorities.

AI governance maturity scoring rates readiness from 1 to 5 across 8 domains to compare current state versus target state. It aligns results with NIST AI RMF, EU AI Act, ISO 42001, and OCC SR 11-7 to highlight framework-specific compliance gaps.

AI governance gap analysis identifies organizational weaknesses across 8 domains and prioritizes remediation by urgency levels like critical, high, medium, or low. This approach ensures the most pressing framework compliance gaps are addressed first.

Yes, AI governance readiness assessments can be persisted into SerenDB using SQL schema via MCP calls. This stores domain scores, gaps, risk register items, and roadmap items to enable historical tracking and remediation monitoring.

AI governance readiness assessment applies to organizations deploying AI across both regulated and non-regulated environments. It evaluates governance, risk, transparency, fairness, security, and oversight domains regardless of regulatory requirements.