The fraud you're not catching
$0.01 differences. Split invoices below approval thresholds. Unusual timing patterns. Vendor collusion. These slip through traditional AP systems, but not Remmi.
1-3%
of invoices contain errors or fraud
$2.1M
average annual fraud loss per company
18mo
average time to detect AP fraud
AI that works together
One detection method is easy to fool. Six working together? Nearly impossible.
Duplicate Detection
Fuzzy matching catches near-duplicates. Same vendor, $0.01 difference? Flagged. Same invoice number, different amount? Caught.
Split Invoice Detection
Flags multiple invoices clustering just below approval thresholds. Catches deliberate invoice splitting to avoid oversight.
Benford's Law Analysis
Statistical anomaly detection on invoice amounts. Real transactions follow predictable digit patterns. Fraud doesn't.
Timing Anomaly Detection
Weekend submissions, holiday invoices, end-of-period rushes. Unusual timing patterns get flagged for review.
Vendor Risk Scoring
New vendor flags, address anomalies, bank account changes. Risk scores update with every transaction.
Amount Pattern Analysis
Detects unusual invoice amounts compared to vendor history. Catches round-number fraud and amounts that don't match typical patterns.
Every invoice, automatically
No sampling. No batch processing. Every invoice gets the full fraud analysis.