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AI-DATA-READINESS5 MIN READ

Trace nulls to root cause before filling them

Apply root-cause analysis to a missing-field defect before choosing an AI data-readiness fix.

The support-routing model cannot trust issue_category because it is null on 22 percent of enterprise tickets. Root-cause analysis: trace the defect to the process that creates it before filling the field. The common shortcut is to backfill missing categories from historical text and call the data ready. That can create a clean-looking feature while the intake process continues generating nulls. Before Null issue_category fields are backfilled from ticket text; the dashboard turns green but enterprise email tickets keep arriving without a category. After Enterprise email intake adds a required category step, null rate is monitored by channel, and historical backfill…

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