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Banks and Regulators Begin Treating Agentic AI as the Operating Layer for Payments

A refactor to make legacy banking systems machine-readable makes cryptographic proof and independent audit prerequisites for agentic AI to touch payments.

Overview

  • Major banks and fintechs are moving beyond pilots to partnerships and targeted deployments of agentic AI for tasks like trade accounting, client due diligence, onboarding and treasury.
  • Industry surveys show roughly half of firms are already piloting agentic AI and a large majority expect meaningful autonomous agents by 2030, signaling broad near‑term adoption.
  • Banks face a ‘Great Refactor’ because existing code, undocumented business rules and fragmented data stores must be turned into machine-readable interfaces before agents can operate them safely.
  • Consulting and research groups estimate big cost gains from the shift, with McKinsey projecting up to about 20% net cost reductions for banks and specialist groups citing up to 95% cuts in some cross-border corridors.
  • Regulators and industry leaders are prioritizing tamper-resistant verification, cryptographic proof, continuous auditability and independent oversight as conditions for letting autonomous agents execute payments, a change that will reshape customer onboarding, settlement speed and operational jobs.