AI in payment processing means using machine-learning models to make or inform decisions inside a live payment flow. That covers fraud risk scoring before authorization, issuer approval prediction, acquirer and rail selection, retry decisions on failed payments, and settlement record matching during reconciliation.

The models produce probabilities. A policy engine turns those probabilities into decisions, and the ledger itself stays deterministic.