policy-monitor

AI policy drift is detected by comparing saved impact assessments, triage results, vendor reviews, and use case registries against current policy commitments during weekly sweeps. The monitor evaluates coverage, conflicts, oversight, disclosure, automation, and vendor data-use concerns to identify misalignments.

AI policy monitoring is the process of checking whether operational AI practices align with governance documents. You need to run a sweep weekly to review saved governance outputs, or run a direct check whenever a team proposes a new AI deployment or practice.

To check a proposed AI deployment, run a direct policy check with a description of the intended practice. The monitor evaluates the practice for coverage, missing safeguards, and conflicts, then classifies gaps as required or advisable before drafting policy language updates.

No, governance state updates are deferred until human acknowledgment is received. The monitor classifies gaps, drafts policy language, and identifies necessary registry changes, but requires manual review before recording sweep results or updating the state file.

You need access to the configured AI policy document, the governance state file, and the outputs directory containing saved impact assessments and vendor reviews. These inputs allow the monitor to compare approved practices against current policy commitments.

Policy gaps appear after a vendor review because the monitor detects drift between the vendor's data-use practices and your current policy commitments. It identifies missing safeguards and classifies whether updating the use case registry or policy language is required or advisable.