Track uptime, routing errors by affected group: For an internal | AIGP
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Track uptime, routing errors by affected group: For an internal renewal decision, which minimum monitoring set

AIGP Understanding How to Govern AI Deployment and Use Medium

Renewal monitoring must connect uptime to routing harm, affected groups, mitigation effectiveness, and residual impact.

The question

A university research-administration unit uses an AI tool to route funding inquiries. The supplier meets its uptime service-level metric, but staff report repeated misrouting that delays researcher assistance. For an internal renewal decision, which minimum monitoring set directly tests whether the reported harm is controlled?

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  1. Review uptime and supplier response times.
    These measures assess availability and support handling, but not routing errors or their effects on researchers.
  2. Track uptime, routing errors by affected group, corrective-action effectiveness, and residual harm against renewal thresholds.
    This links supplier reliability to the actual routing problem, identifies affected researchers, tests mitigation, and supplies evidence for the renewal decision.
  3. Track uptime, routing accuracy, and quarterly staff-reported delays.
    This adds relevant outcome information, but it does not establish whether corrective actions work or whether affected groups continue to experience residual harm.
  4. Replace uptime reporting with quarterly user surveys.
    Surveys can add context, but replacing uptime with perception data leaves routing accuracy and operational reliability unclear.
The trap
Measure the harm the system can cause, not merely whether it remains available.

How to remember it

Renewal monitoring must connect uptime to routing harm, affected groups, mitigation effectiveness, and residual impact.

How many of these would you get right?

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