IPM Insights for the close

What it does

During the close, IPM Insights runs anomaly detection across:

• Account balances that look out of pattern vs. history.
• Variance components that don't match expected drivers.
• Journal entries with unusual amounts, accounts, or timing.

Anomalies surface as a triage queue for the close team — not as blockers, but as "look here first."

Why it matters

The close is where AI saves the most time, because the time saved is late nights. Spotting a misposted journal at day 1 of close is worth a lot more than spotting it at day 8.

What good looks like

• The first close after enabling IPM, expect more alerts than you'll act on — the model is calibrating.
• By close 3, the alert volume should be small enough to triage in the morning standup.
• By close 6, IPM should be catching at least one issue per close that humans would otherwise have caught only in the variance review.

If you're not seeing those benchmarks, recalibrate or expand the data scope.