Root-cause the failed AI summary
Use root-cause analysis to distinguish model error from workflow design failure.
The AI weekly churn summary reported risk down, but the source dashboard had not synced the latest cancellation notes. Five Whys finds the process condition behind the visible AI error; DMAIC turns the cause into a controlled improvement. The easy fix is to tell the model to be more accurate. That does not address stale source data, missing freshness rules, or review responsibility. Before Prompt update: "Be accurate and check churn risk carefully." After Workflow control: summary generation blocked unless source data synced within 24 hours, with owner signoff and freshness badge in the output. Why 1 Why was the…
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