Answers
Generative AI can produce fake invoices, bank statements, and confirmations that look authentic—complete with believable vendor details and signatures. Visual review alone is no longer sufficient.
Cross-system data (ERP, banking, procurement), behavioral metadata (who created it, when, from where), and whether the transaction fits historical patterns—not just document appearance.
When fraud templates can be replicated across dozens of transactions, sampling catches one instance while 72 others slip through. Full-population screening catches all instances instantly.
Every flagged transaction includes plain-English reasoning—why it was flagged, which pattern triggered it, and which assertion is affected—so reviewers can document and defend conclusions.
Pilot full-population testing on one account population. Cross-reference documents with payment records and vendor master data, and measure how many visual-only matches fail data-level validation.
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