Use DMAIC For AI Quality Drift
Apply DMAIC to diagnose and reduce AI answer quality drift.
The renewal-risk summarizer feels worse, but uptime and model errors are normal. Leaders need to know whether quality drift is real and what to fix. DMAIC turns fuzzy quality decline into a measured process improvement loop. The common trap is to rewrite the prompt immediately because prompt text is visible and editable. That can hide data or retrieval causes. Before Complaint: 'Summaries are worse.' Action: prompt rewrite. Result: no clear proof of improvement and no way to know if drift returns. After Defect: renewal blocker present in CRM notes but absent from summary. Baseline defect rate: 14 percent in sampled…
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