Governance visual guide

From source drift to a trusted release

The human-gated workflow for detecting changed AI guidance and releasing evidence-linked updates safely.

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A governance flow moves from Approved sources to Scheduled drift detection, Impact mapping, Evidence-linked proposal, Factuality and assessment checks, Human preview and approval, Versioned release, and Monitor. Rejected or failed proposals return for revision, and monitoring can trigger rollback before returning to approved sources. — Project 42 can automate detection and proposals while keeping factual review, approval, release, and rollback under human control.

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What this shows

Automation can detect changed provider documentation and propose updates, but it should not silently rewrite learning content. A proposal links changed sources to affected claims and assessments, runs factuality and regression checks, presents a preview to a human approver, and preserves release and rollback evidence.

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Key takeaways

Automate change detection and impact mapping, not unreviewed publication.
Link every proposed claim and assessment change to current source evidence.
Keep preview, approval, release manifest, monitoring, and rollback evidence together.