Validate dependent workflows and fallback owners | AIGP
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Validate dependent workflows and fallback owners: Which evidence best resolves that uncertainty?

AIGP Understanding How to Govern AI Development Medium

Validated fallback operation, dependency coverage, and named owners establish whether retirement is workable.

The question

A university plans to retire an AI course-placement tool. Before approval, leaders must establish that dependent workflows can operate after removal, including tested fallback procedures and named fallback owners. Which evidence best resolves that uncertainty?

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  1. Hold stakeholder meetings about possible transition impacts.
    Consultation can identify concerns, but it does not by itself demonstrate that fallbacks work or assign accountable owners.
  2. Review historical accuracy and subgroup performance reports.
    These reports describe model quality but do not show whether local workflows can function without the tool or who owns the fallback.
  3. Validate dependent workflows and fallback owners.
    Testing the affected workflows after simulated removal, together with named owners, directly establishes operational continuity and accountability.
  4. Obtain the vendor's technical shutdown procedure.
    A shutdown procedure may explain technical deactivation but cannot establish university workflow dependencies or validate local fallback operation.
The trap
Look for tested downstream fallbacks and accountable owners, not only historical metrics or vendor shutdown steps.

How to remember it

Validated fallback operation, dependency coverage, and named owners establish whether retirement is workable.

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