Voice AI for card payments, transfers, and bill pay in financial services

Integration touchpoints

• Payment processor with DTMF capture so cardholder data never enters the LLM context window
• Faster Payments / SEPA / ACH rails for transfers, with SCA challenges injected on every initiation
• Dispute and chargeback case management — the AI captures the structured dispute, a human decides
• CRM and reason-code taxonomy so the agent population can see what the AI did and why

Regulatory hooks

• PCI DSS 4.0 — the LLM must be outside scope by design, not by claim
• PSD2 SCA / FFIEC equivalents — multi-factor for every payment initiation, not just first enrolment
• FCA Consumer Duty (UK) — payment refusal or hardship signals route to a trained human
• UK Authorised Push Payment fraud reimbursement — disclosure scripts on initiating payments to new beneficiaries

What good looks like

An AI that explains the bill or transfer intent, hands the cardholder portion to a PCI-scoped DTMF flow, fires the SCA challenge, confirms the result, and writes back a reason-coded record. Disputes are captured to a structured schema the chargeback team consumes without rework. Hardship signals route to a specialist; the AI does not negotiate.

Watch-outs

• Letting a PAN, CVV, or full account number into the LLM context window — PCI scope expands the moment a digit is exposed to the model.
• Skipping APP fraud warnings on payments to new beneficiaries. The reimbursement rules in the UK make this a hard liability question.
• Treating dispute initiation as containment. A poorly captured dispute creates more downstream cost than it saves at the front door.
• Negotiating hardship arrangements from the AI. Consumer Duty makes that a human decision.

Frequently asked