AI Deepens Its Involvement in Payment Exception Handling
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AI-assisted source synthesis · not an independent investigation.
A report dated October 10, 2026, stated that automation and artificial intelligence are moving beyond payment matching and fraud detection into payment discrepancy diagnosis and remediation, with more payment exception handling being performed by software. Over the next 12 months, 70% of payment-intensive companies plan to add or expand automated payment matching, while 59% plan to add or expand AI-based fraud detection. Finastra's Repair Recommendations can identify payment discrepancies, analyze their causes, and recommend corrective actions, which are then reviewed and approved by employees.
AI-written from reports · updated 7 days ago
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- PYMNTSAutomation and AI Move Deeper into Payment Exception Handling
Automation and AI are moving beyond payment matching and fraud detection into discrepancy diagnosis and remediation, with more payment exception handling being performed by software. Over the next 12 months, 70% of payment-intensive businesses plan to add or expand automated payment matching, while 59% plan to add or expand AI-based fraud detection. Finastra’s Repair Recommendations can identify payment discrepancies, analyze their causes, and recommend corrective actions for employees to review and approve.