Payment Fraud Detection

Payment Fraud Detection uses AI to identify potentially fraudulent payment instructions in the outgoing payment run before settlement, enabling treasury and accounts payable to intercept suspicious transactions before funds leave the organisation, by flagging instructions that deviate from vendor payment history, amount norms, and bank account patterns, across treasury and accounts payable fraud management workflows.

Finance teams process outgoing payments in bulk runs without a systematic mechanism to identify fraudulent payment instructions (changed bank details, unauthorised beneficiaries, or business email compromise-generated invoices) before settlement. Fraud is typically detected after funds have left the organisation, when recovery is difficult.

The AI scores each payment instruction in the pending run against vendor bank account history, payment amount norms, beneficiary legitimacy signals, and recent master data change activity, flagging anomalous instructions for human review before the payment run is submitted to the bank. High-confidence fraud flags trigger automatic hold.

Fraud loss per payment cycle decreases; payment fraud detection rate before settlement improves.

• •Vendor payment history with bank account records is available for anomaly comparison.
• •Vendor master data change events are logged with timestamps and change audit trail.
• •A treasury or AP control owner reviews flagged payments before the batch is released.