Effective AI fraud detection in Coupa requires intercepting and analyzing transactions at key workflow stages. The primary integration points are the Invoice Pay and Payment Request APIs, where you can inject a fraud scoring agent before approvals are finalized. This agent analyzes the invoice header, line items, and associated metadata—such as vendor master data, historical spend patterns, and user behavior—against a trained model to generate a risk score. This score, along with flagged anomalies (e.g., new bank account for an established vendor, invoice amount deviation, or mismatched tax IDs), is appended to the transaction record via custom fields or written to a separate audit log, triggering automated holds in Coupa's approval workflows for high-risk items.




