An AI voice agent should never hear a card number.
If your AI bot takes support calls, runs web chat, or handles a voice channel, there's a moment in every conversation where the customer has to pay. That's the moment most people get wrong. Card details end up in an LLM's context window, a transcript, a call recording, or a log no one's sure is ever deleted.
We built a different pattern. Your AI keeps running the conversation. When the payment moment arrives, we take over the card capture on our PCI DSS Level 1 platform, process it, and hand control back. The AI never sees, hears, or stores a card number.
The pattern
One API call keeps the AI out of PCI scope.
How do you stay PCI compliant when an AI agent takes the card payment?
You keep the card number away from the AI. If the bot hears a card number, it lands in the transcript, the call recording and possibly the model provider's logs, and every one of those is now in PCI DSS scope. If the caller keys the card on their own keypad and the tones are masked before the AI hears them, none of it is.
That's how the PCI Security Standards Council approaches it too. In its September 2026 guidance on AI systems it says AI “should be considered no different from any other form of technology” when you work out which PCI requirements apply. A system that receives card data is in scope, whether it's a person, a database or a language model. You don't need to make a language model PCI compliant if card data never gets to it.
Why AI and card data don't mix
AI tooling wasn't built with PCI DSS in mind. LLM providers log inputs and outputs by default. Transcription services keep audio. Plenty of platforms route data through regions and services you don't control. None of them give you a clean “captured, processed, deleted, here's the log” chain of evidence.
If your bot hears a card number read out, or sees one typed into a chat window, you've got card data in places you can't certify as compliant. It might be sitting in an LLM provider's logs with a retention window you can't override, embedded in a transcript that feeds fine-tuning, recorded in a voice archive with no guaranteed deletion, or routed through a sub-processor your lawyers haven't bound contractually.
That's not a PCI DSS problem you fix with a policy document. It's a data-handling problem that needs a different architecture.
How we keep AI out of the payment moment
Online and chat AI
Web, WhatsApp, in-app bots
Your AI handles the conversation as normal. When it's time to take payment, your code calls our API with the amount, reference, and any metadata you want logged against the transaction. We return a payment link or an iframe. The customer enters their card on our hosted form, which runs on our PCI DSS Level 1 infrastructure — not yours, not your AI provider's. We tokenise the card, process the payment, and send you the outcome by webhook. The AI never sees the card, the transcript stays clean, and your logs never hold anything you'd need to redact.
Voice AI
Call-based bots and voice agents
When your AI voice bot reaches the payment step, the call splits into two channels. The customer keys their card on their own phone's keypad, guided by voice prompts from our platform. The DTMF tones are suppressed so they never reach the AI's transcription engine or the call recording. Your AI is off the audio path for those few seconds. Once the payment authorises, the channel reconnects and the AI carries on with the conversation. Same mechanism agent-assisted call centres already use, adapted for a call where the “agent” is a bot. On voice, this is our AI CallSynch product.
What happens on a live call
- 1The AI agent runs the conversation as normal and gets the caller to the point of paying.
- 2The agent makes one API call to Paytia with the amount and a reference. That opens a secure payment session.
- 3Our voice prompts take over the audio for a few seconds, and the caller types their card number, expiry date and security code on their own phone keypad.
- 4The keypad tones are masked before they reach the AI, the transcription or the call recording. The digits only go into Paytia's PCI DSS Level 1 platform.
- 5We tokenise the card and process the payment with your payment processor.
- 6The result goes back to your system by webhook. It's result data only, with no card data in it, and the agent picks the conversation back up knowing whether the payment went through.
From the AI's side there's a gap in the transcript where the payment happened. There's nothing to redact afterwards, because the digits were never written down anywhere. The AI provider, the speech-to-text vendor and your own systems stay out of PCI DSS scope for card data.
Tell the caller before the capture starts
One thing we've learnt from live calls: have the agent say what's about to happen before the keypad capture begins. Something like “I'm going to step back while you type your card number on the keypad, and nothing is listening to the digits.” Callers who know what's coming finish the payment. If the line just goes quiet on them, some hang up.
Who handles what
A clean line between payment data and conversation data. That's what makes the DPA defensible.
| Data | Handled by |
|---|---|
| Card details | Paytia |
| CVVs | Paytia |
| Bank account numbers | Paytia |
| Cardholder name and address (if captured) | Paytia |
| The conversation itself | Your AI |
| Session state, intent, business logic | Your AI |
| Order references, customer IDs, metadata | Your AI |
| Payment outcome (token, status) | You, via webhook |
Why the DPA matters — and why most AI platforms can't give you a straight answer
A Data Processing Agreement defines who's responsible for each category of personal data, where it's stored, how long it's kept, how it gets deleted, and what happens if something goes wrong. Under UK and EU GDPR, it's not optional for any product touching personal data.
The problem is that AI platforms often have DPAs that don't cover sensitive payment data properly. Some explicitly exclude it. Some use blanket language that would pull the AI provider into PCI scope — which they don't want either. Some sub-process through LLM providers whose retention policies you can't override. If you're building on top of that and a regulated customer asks you for a DPA, you're stuck.
Our architecture takes that problem off the table. Card data never enters the AI scope, so your AI platform stays out of PCI scope. We're the data processor for payment data, with a defined environment, defined retention, and a defined deletion path. Your DPA becomes easier to draft because the responsibilities are separate in the architecture itself, so the paperwork describes something real.
Built for AI developers
One API call starts a payment session. Webhook events cover every stage of the lifecycle. It works alongside whatever AI stack you're running — custom agent frameworks, managed voice platforms, in-house bots. Delivery is flexible: an iframe inside your UI, a redirect link over chat, or call-channel injection for voice. Sandbox and live share the same integration.
We don't change pricing based on whether a human or an AI kicked off the transaction. If you're a platform selling AI products into regulated industries, the combination of our PCI Level 1 certification and a clean DPA story is often what lets the deal close.
If you already have a capture layer and just need the AI-safe hand-off, see our Capture Assist API.
Built for teams shipping AI to paying customers
- AI bot and voice agent builders shipping to paying customers
- SaaS platforms adding payment capability to an AI product
- Contact centres running AI-assisted or AI-led calls
- Fintech teams wrapping AI around existing payment flows
- Any team where 'how do we take payments through the AI layer without pulling ourselves into PCI scope' has already come up
If you're running an AI-assisted contact centre, our contact centre page covers the operational side of the same architecture.
The AI payments family
AI CallSynch SecureFlow
The product page for voice AI payments: how the bot, the masked keypad capture and the hand-back work together on a live call.
Read moreConversational & AI Payments
The hub for chat, Zoom, WhatsApp and AI agent payment flows.
Read moreAI-Powered Telephony
The wider AI telephony picture — Teams, WhatsApp, speech IVR, and secure payments on the same call.
Read moreFrequently asked questions
How do you stay PCI compliant when an AI agent takes the card payment?+
Keep the card number away from the AI. When the bot reaches the payment, it makes one API call to Paytia, the caller keys their card on their own keypad, and the tones are masked before they reach the AI, the transcription or the recording. The digits only go into our PCI DSS Level 1 platform, and the bot gets the result back by webhook. If the card never reaches the model, you don't have to make the model PCI compliant.
Which voice AI platforms does this work with?+
Any of them. The integration is one API call to open the payment session and a webhook for the result, so it doesn't matter whether your agent runs on a custom build, a managed voice platform or a speech-to-speech service. The platform runs the conversation; we handle the card.
What should the AI agent say before the payment starts?+
Tell the caller what's about to happen. Something like "I'm going to step back while you type your card number on the keypad, and nothing is listening to the digits." Callers who know what's coming finish the payment. If the line just goes quiet, some of them hang up.
Does our LLM provider need to be PCI compliant?+
No. Because card data never enters the LLM's context window, your AI provider stays out of PCI scope. That's the point of the architecture.
What if the AI needs to confirm the payment went through?+
We return the outcome by webhook the moment the transaction authorises. Your AI reads that from your own system and carries on — 'that's gone through, thanks' — without ever holding the card number.
Can you help us write the DPA?+
We can share our standard DPA and the audit documentation behind it — our PCI AOC and Cyber Essentials Plus certificate. Your legal team drafts the agreement with your customer, but you can lean on our evidence for the payment data processing part.
Does this work with voice bots that run speech-to-text for the whole call?+
Yes. The transcription engine stays on the AI's audio path. Our DTMF capture runs on a separated channel. The transcript just shows a gap where the payment happened, not the card number.
Can the AI trigger refunds or future charges?+
Yes. We tokenise the original card, so the AI can initiate a refund, a repeat charge, or a recurring payment against that token without ever needing the card number again.
What if we already use another payment processor?+
We sit in front of most gateways as the PCI-compliant capture layer, then route the tokenised card on to your existing processor. You keep the relationship you've got and get the AI-safe capture path on top.
Tell us where the payment step sits in your AI flow.
We'll show you the safest way to wire it up, and walk your legal team through the payment-data side of the DPA.