What problem does it solve?
AI governance policies drift out of date as AI use cases multiply, vendors change, and triage or assessment outputs introduce new commitments faster than policy documents get refreshed.
Core Features & Use Cases
- Policy drift detection (sweep mode): Scans saved AIAs, triage results, and vendor review outputs since the last recorded sweep, then classifies gaps as REQUIRED (contradiction or missing coverage that creates material misrepresentation) or ADVISABLE (policy is silent but can be clarified to match practice and expectations).
- Proposed practice evaluation (direct query mode): Diffs a described new AI practice against current policy commitments and the use case registry to identify covered, missing, or conflicting areas and drafts suggested policy language.
- Human-in-the-loop governance: Produces gap findings and draft language for review; it updates the recorded sweep stamp and registry-related gap counts only after acknowledgement.
Quick Start
Run /ai-governance-legal:policy-monitor and describe the AI practice you plan to start, so the skill can check coverage against your current AI policy and use case registry.
