The chart your VP Operations should look at first. Where the silent E3 divergence begins, in one visual.
Three zones stay roughly parallel across the 90 days. Two zones — E3 and E5 — move. E3 drops sharply from Day 44 and does not recover. E5 diverges even earlier, from Day 30 forward, with much larger KL-divergence values.
This is the pattern an operator's shift supervisor instinctively recognizes: something in the E3 and E5 streams changed, and the AI is scoring shortage risk differently than baseline. The 22 percentage-point lane-rate shift on E3 is the operational follow-on.
The sensor is not looking at the eye's pattern. It is running four quantitative thresholds against each 7-day window per zone:
Day 30 fires E5 KL-divergence 1.218 (6x the threshold). Day 44 fires E3 KL-divergence 0.526. Day 65 fires E5 KL-divergence 2.394. The pattern the eye sees is the pattern the sensor quantifies.
The chart also tells the counterfactual story: had this monitoring been in place operationally, the drift window would have been ~7-14 days rather than 45+.
The rolling-mean chart shows when. The baseline-vs-drifted chart shows how the E3 distribution shape shifted.
Same 3-chart set for your operator's actual AI surface + full analysis report.
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