Lesson 3 of 3 — Evidence-freshness sweep reopens lapsed items

Automated Review Cadence · Source: Jira Story GOV-203 (5 pts) · Authority: Informational (the Jira story is authoritative).

Purpose

Automatically reopen work when evidence goes stale.

Why it matters

Stale evidence silently inflates posture; the sweep keeps it honest.

Where this lives

Runs in the Customer AI Governance platform (components: workspace). A sweep detects expired evidence, reopens the control/task, and writes a posture snapshot. Learn teaches this read-only.

Workflow

1. Given evidence that has expired
2. When the freshness sweep runs
3. Then the control or task is reopened and posture is snapshotted

Worked example

A control's evidence expired last week. What should the freshness sweep do?

Reopen the control/task and snapshot posture so the decay is visible.

Acceptance criteria (authoritative — GOV-203)

Given evidence that has expired, when the freshness sweep runs, then the control or task is reopened and posture is snapshotted.

Common pitfalls

• Reopening without snapshotting, losing the posture change.

Knowledge check

• Scenario: A control's evidence expired last week. What should the freshness sweep do?
• Look for: Reopen the control/task and snapshot posture so the decay is visible.

Key concepts

• freshness sweep
• evidence expiry
• reopen + snapshot

For the AI Tutor

• Summary: Automatically reopen work when evidence goes stale.
• When to use: teaching or answering questions about "evidence-freshness sweep reopens lapsed items".
• When NOT to use: the manual QoQ review (that is GOV-136).
• Key concepts: freshness sweep, evidence expiry, reopen + snapshot.

Completion criteria

Learner passes the scenario knowledge check and can point to the system state that satisfies GOV-203's acceptance criterion.

Related

• Module: LEARN-MOD-006 (Automated Review Cadence)
• Provenance: LEARN-MAP-001 · Generation standard: LEARN-STD-002
• Next: (module complete)