When Should Finance Teams Trust the AI’s Anomaly Alert?

Anomaly alerts are the single most-loved and most-hated feature in any BI tool. Loved because they surface the thing you missed. Hated because they cry wolf during month-end when everything looks weird.

PrecisionIQ trades some sensitivity for calibration. Every alert ships with three things: (1) how far outside the normal range the value fell; (2) whether seasonal adjustment was applied and what the seasonal factor was; (3) a plain-English “why this fired” note referencing the past twelve periods.

As a rule of thumb: a large deviation with confidence at 85% or above is worth pausing for. A moderate deviation with confidence in the 55–70% band is worth glancing at during your weekly review, not paging the CFO for. A moderate deviation with confidence under 50% is almost always noise — the system is telling you it’s guessing.

All anomalies land in the Audit Log with the raw score, the model version, and a link to the underlying rows. When a real one turns out to be a bug in your source system, that trail is the reason your CFO doesn’t argue with the finding.