State Regulators Give Banks an AI Exam Playbook as Federal Gap Persists

What's happening

State banking regulators have published an AI 'exam playbook' to guide banks on using generative models and agentic systems that touch money or customer decisions. The guidance focuses on proving what an AI agent did, showing immutable records it wasn't edited after the fact, and tying actions to specific policies and versions. Regulators stress human engagement for final decisions, flagging that AI can spot scams early but humans must still decide, and they want banks to show controls for agents that issue refunds, flag transactions, draft responses, trigger KYC steps, or call internal APIs. The move comes as banks and fintechs debate where AI is genuinely useful day-to-day and as vendors like SolvaPay build payment rails for AI agents that will act as customers.

Why it's trending

Regulators moved because banks are shifting from suggestion-only AI to agentic systems that take actions affecting funds and customers, creating traceability and control gaps.

SignalHolding at its usual pace, confirmed across 2 independent source types.