Set restart thresholds: Which evidence package best satisfies | AIGP
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Set restart thresholds: Which evidence package best satisfies that decision?

AIGP Understanding How to Govern AI Deployment and Use Medium

A defensible restart package tests peak demand, documents residual risk, and obtains authorized acceptance.

The question

A logistics company suspended an AI scheduling service after missed delivery windows. Before restarting it, management requires evidence that corrective changes work under peak demand, residual risks are understood, and an authorized owner accepts the remaining risk. Which evidence package best satisfies that decision?

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  1. Set thresholds, test peak demand, and record residual risks for routine sign-off.
    This omits acceptance by the specifically authorized risk owner, which the restart decision requires.
  2. Use vendor assurances, dashboards, and weekly accuracy reports.
    These artifacts may support monitoring but do not establish corrective effectiveness under peak demand or owner acceptance of residual risk.
  3. Compare results with average historical demand.
    Average-demand results do not test the condition associated with the missed windows or document residual-risk acceptance.
  4. Set restart thresholds, retest corrective changes under peak demand, document residual risks, and obtain authorized-owner acceptance.
    This package tests the relevant failure condition, defines decision criteria, records remaining risk, and obtains the required accountable acceptance before restart.
The trap
Test in the failure context, document residual risk, and obtain accountable approval.

How to remember it

A defensible restart package tests peak demand, documents residual risk, and obtains authorized acceptance.

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