policy-monitor

Detect AI policy drift by comparing newly saved AI Impact Assessments, triage outcomes, and vendor AI reviews against current AI policy commitments and a use case registry. This identifies misrepresentation and compliance risk by classifying coverage as required or advisable gaps.

A use case registry in AI governance records approved AI practices and vendor reviews. It serves as the baseline for policy gap analysis, allowing you to diff new AI impact assessments against existing policy commitments to detect governance drift.

Run a policy gap analysis by scanning saved Outputs since the last sweep to diff approved practices against the authoritative AI policy document. This sweep classifies identified coverage issues as REQUIRED or ADVISABLE gaps and drafts suggested policy language.

Yes, you can check a proposed AI use case by submitting a direct query. The system immediately classifies coverage as covered, missing, or conflicting, then drafts suggested policy language and use case registry updates for human review.

No, AI policy monitoring produces review-ready work product without auto-updating the recorded sweep state. Human-controlled updates ensure sweep timestamps and gap counts only change after acknowledgment, avoiding silent roll-forward of governance records.