Auditors and controllers alike are tasked with identifying unusual transactions and potential risks hidden within vast amounts of financial data. Traditional rule-based approaches miss many subtle but important patterns.

The Anomaly Detection & Risk Agent applies advanced statistical techniques and anomaly detection models to transactional data. It flags potential red flags such as duplicate payments, round-dollar entries, related-party transactions, large manual journal entries, and other atypical patterns — surfacing them for prioritized human review.

This intelligent prioritization helps finance teams and auditors focus attention where it matters most, strengthening overall audit quality and reducing the risk of material misstatements.