Obenan

Briefing · Agent payments

AI agents are learning to pay. Can they trust that your slot is really free?

In April 2026 card networks, payment companies and open commerce standards published new rules and tools for AI agents that pay on a customer’s behalf. Those rules decide who is allowed to pay and for what. Our read: by themselves, they don’t check whether the table, class seat or parking bay being paid for is actually free, so prepaid bookings with one clear slot, price and cancellation rule are where agent payments can work first, if the business’s own facts are right.

Published

Illustrative example, not a real business, price or screen.

April and early May 2026

The rules for AI agents that pay are being written

In a few weeks, six public releases moved agent payments from talk towards working rules. Five are rules, standards or tools; one is a planned acquisition. Most are about who may pay, how, and with what proof.

  • Visa · 18 April 2026

    Visa adds rules for AI agent platforms

    Its public rulebook gained a section, 4.1.24 Agentic Platform Requirements, covering enrolment, consent, the customer acknowledging the merchant’s policies, and order confirmations that include cancellation terms.

  • Universal Commerce Protocol · 9 April 2026

    An open protocol for AI checkout gets a new version

    Release v2026-04-08 added carts and catalogue search. It treats catalogue details as provisional, and the checkout as the authoritative answer on price and terms.

  • Agentic Commerce Protocol · 17 April 2026

    A second standard adds feeds and carts

    Version 2026-04-17 added a product feed, a cart and a way for the customer’s card issuer to confirm it’s really them during an agent’s purchase.

  • Stripe · 29 April 2026

    Stripe widens its tools for agent payments

    At Sessions 2026 Stripe opened agentic commerce to more merchants through its dashboard, added Google’s AI Mode and Gemini app as a route to checkout, and introduced Link agent wallets.

  • Experian · 30 April 2026

    Experian announces a way to vouch for agents

    Agent Trust is meant to tie an agent to the person it acts for, and to keep a registry of agents.

  • Adyen · 23 April 2026

    Adyen plans to buy Talon.One

    Adyen announced a planned EUR 750 million acquisition, tying it to readiness for AI agent shopping and to real-time offer and cart decisions before payment.

All of this decides who may pay and for what. Our read: none of this, by itself, checks that the slot you’re selling is free and can be honoured right now.

More detail on these releases

Visa’s new section also covers proof after a purchase, consent for repeated purchases and a 120-day order confirmation requirement that includes cancellation and guaranteed-reservation disclosure. These are references to Visa’s public rulebook only.

The Universal Commerce Protocol release also added signed requests and responses, eligibility claims and explicit totals. The Agentic Commerce Protocol release added delegated customer authentication for 3DS2 (the extra check a card issuer can ask for), a public discovery document and support for both REST connections (the usual way websites and apps exchange data) and MCP connections (a way for AI assistants to use outside tools). Stripe also announced Machine Payments Protocol support for payments made by software.

Payments made by AI agents have already been shown working in controlled settings: Mastercard and Santander announced Europe’s first live end-to-end payment executed by an AI agent on 2 March 2026. That was a controlled test, not a broad rollout.

Why local services are different

A booking is a promise, not a product

A boxed product carries its facts with it: a price, a stock level, a returns policy. A booking lives in a diary, and the diary changes. Before an agent pays, someone has to know the slot can be honoured.

  • Tied to a time

    The same service at six in the evening isn’t the same service at noon.

  • Limited places

    Most businesses work to a small, hard limit: seats, bays, chairs, tables.

  • One place, often one person

    It happens at one location, often delivered by one member of staff.

  • Things change on the day

    Staff call in sick, equipment breaks, weather turns, and a cancelled slot may never refill.

  • The rules vary

    Cancellation, deposit, late-arrival and change rules differ by trade, region and business.

  • Spread across systems

    Availability often sits in several booking tools, a scheduling app and people’s heads, not one list.

Treat a salon appointment like a product on a shelf and an agent can end up paying for something the business can’t deliver.

Where to start

The bookings an agent can pay for first

The bookings that are ready share one shape: a single named slot with a start and an end, a set number of places, a clear price, clear cancellation rules and a step where the business confirms it. In effect, a small contract an agent can check before money moves.

  • A parking bay

    A specific space in a specific car park, for a set window, at a published rate.

  • A timed-entry ticket

    An entry window at a museum, attraction or experience, with a fixed price and a fixed number of tickets.

  • A class seat

    One place in a yoga, cooking or fitness session, with a known size and a known cancellation rule.

  • A spa or wellness appointment

    A set treatment, length and practitioner, in a trade where deposits and prepayment are already common.

  • A restaurant deposit

    A table held with a card or part-payment, which big restaurant booking platforms already use against no-shows.

  • A pickup order

    A short list of items, a confirmed total and a pickup window, the same flow many businesses already run for mobile orders placed by people.

  • A rental window

    A specific item for a set time, with a set deposit and damage policy.

The line runs around the booking, not the business. The same place can sell some slots an agent could pay for, and others it couldn’t.

Three layers

Between being found and being paid, the facts are yours

An agent booking on someone’s behalf goes through three layers. The first and last are being built by AI platforms and payment companies. The middle one depends on the business.

  1. The agent finds you

    An AI assistant or search surface can see your business at all. This is about being findable.

  2. Your facts hold up

    The business is who it says it is, the slot is free, the price and rules are current, and the booking can be honoured right now.

  3. The payment goes through

    Networks, payment providers, banks and wallets check who may pay and move the money.

Being findable and being able to honour a paid booking are different questions. Both matter, and the payment layer answers neither.

Why tokens and mandates don’t settle it

Tokenisation replaces a card number with a stand-in so it can’t be stolen. A mandate is the customer’s signed instruction about what an agent may buy. Both protect the payment. Neither shows that the slot, ticket, price or table was actually available when the booking was made.

Our read

Two kinds of test answer two different questions

Our read: no single trade can show both that agent payments work and that a business’s facts can be trusted. We suggest testing them side by side. These are tests for the companies building agent payments, not a job for one business; your part is the facts the second test relies on.

Does the payment flow work?

  • Ticketed experiences, classes and parking.
  • The slot is already digital and managed by mature systems.
  • Payment, deposits and cancellations are already handled online.
  • The question: when an agent reaches the point of paying, does the whole flow work as designed?

Can the business’s facts be trusted?

  • Beauty and personal services first, then spa, wellness and other appointment-led trades.
  • Availability really does change, and practitioners’ skills really do differ.
  • Cancellation habits are specific to each trade.
  • The question: can the business’s side produce enough proof to make the booking safe to pay for?

These are proposed tests, not results. Prepaid local services are not yet a proven, broad commercial rollout, and not all local commerce is ready for agent payments.

What to do now

Five things to get ready

None of this needs an AI agent to arrive first.

  1. List the bookings with one clear shape

    Note which of the things you sell have a set time, a set number of places, a price and a cancellation rule, and which don’t yet.

  2. Keep your availability in one place you trust

    If slots live across several booking tools and a paper diary, no agent can know which one is right.

  3. Write your rules down plainly

    Publish your cancellation, deposit, late-arrival and change rules where a customer, or an agent, can read them before paying.

  4. Ask your booking and payment providers about agents

    Ask whether they plan to support AI agent bookings or payments, and what they’d need from you.

  5. Check that AI can find you at all

    Being found comes before everything else, so check what AI assistants say about your business today.

Questions about this research?

Write to Obenan Research about the sources, or about what they could mean for your business.

Sources

Where this comes from

Built from public sources only; no private partner names, meetings or NDA material. Industry market reports show the size of a category only, not payments made by AI agents, and vendor pages describe their own results, so they count as direction, not proof. This is not legal, regulatory or payment-network rules advice; businesses should consult their own lawyer and their card network or payment processor. Obenan doesn’t move money, tokenise cards, authorise payments, run checkout, or act as a payment service provider or acquirer, and has no approval, integration, partnership, Start Path, pilot or developer-program status with Mastercard, Visa, American Express, Experian, Stripe or Adyen, or with any agent payment protocol, including the Universal Commerce Protocol, the Agentic Commerce Protocol and AP2. References to Visa are to its public rulebook only.

  1. Visa Core Rules and Visa Product and Service Rules (public rulebook)

    Visa Published Checked

    The new section 4.1.24 Agentic Platform Requirements, including the 120-day order confirmation with cancellation and guaranteed-reservation disclosure.

  2. Universal Commerce Protocol release v2026-04-08

    Universal Commerce Protocol (GitHub) Published Checked

    Carts, catalogue search and lookup, signed requests and responses, eligibility claims, and totals and disclosure contracts.

  3. UCP catalog specification (live)

    Universal Commerce Protocol Published Checked

    Catalogue details as provisional, separate from the authoritative checkout.

  4. UCP checkout REST specification (live)

    Universal Commerce Protocol Published Checked

    The authoritative checkout contract.

  5. Agentic Commerce Protocol changelog 2026-04-17

    Agentic Commerce Protocol (GitHub) Published Checked

    The product feed, cart, delegated 3DS2 authentication, discovery document, and REST and MCP support.

  6. Stripe Sessions 2026 newsroom

    Stripe Published Checked

    Stripe’s own summary of Sessions 2026: dashboard access for merchants, Google as a route to checkout, and agent wallets.

  7. Stripe agentic commerce documentation

    Stripe Published Checked

    Stripe’s product documentation for agentic commerce and Machine Payments Protocol support.

  8. Experian Agent Trust press release

    Experian Published Checked

    The announcement of Agent Trust: Human-to-Agent Binding, an Agent Trust Token and an Agent Registry.

  9. Adyen acquires Talon.One press release

    Adyen Published Checked

    The planned EUR 750 million acquisition, framed around real-time decisions before payment.

  10. Mastercard Agent Pay public product page

    Mastercard Checked

    Mastercard’s public description of Agent Pay and related capabilities.

  11. Verifiable Intent specification (public draft v0.1)

    Verifiable Intent Checked

    A public draft specification for proving what a customer asked an agent to do.

  12. Mastercard and Santander first live end-to-end AI agent payment in Europe (controlled)

    Mastercard Published Checked

    A controlled live payment executed by an AI agent, cited as context, not as a broad commercial rollout.

  13. OpenAI Buy It in ChatGPT (Instant Checkout via Agentic Commerce Protocol)

    OpenAI Checked

    OpenAI’s Instant Checkout, built on the Agentic Commerce Protocol.

  14. OpenAI product feed specification

    OpenAI developer documentation Checked

    The product feed behind buying in ChatGPT.

  15. Eurostat e-commerce statistics

    Eurostat Checked

    Official statistics on how many European businesses sell online, as background on how digital merchants are.

  16. Fortune Business Insights, Health and Fitness Club Market

    Fortune Business Insights Checked

    2024 estimate. Industry market report, used only to show the size of the category, not to size payments made by AI agents.

  17. Grand View Research, Professional Beauty Services Market Report

    Grand View Research Checked

    2023 estimate. Industry market report, used only to show the size of the category, not to size payments made by AI agents.

  18. Grand View Research, Medical Spa Market

    Grand View Research Checked

    2024 estimate. Industry market report, used only to show the size of the category, not to size payments made by AI agents.

  19. Research and Markets, Tours and Activities Reservations Global

    Research and Markets Checked

    2024 estimate. Industry market report, used only to show the size of the category, not to size payments made by AI agents.

  20. GM Insights, Parking Reservation System Market

    GM Insights Checked

    2024 estimate. Industry market report, used only to show the size of the category, not to size payments made by AI agents.

  21. SpotHero, one billion dollars cumulative parking reservations milestone

    SpotHero Checked

    A milestone SpotHero reports about itself; direction, not comparative proof.

  22. OpenTable, three proven payment strategies to reduce no-shows

    OpenTable Checked

    OpenTable’s own guidance on prepayment and deposits for restaurant bookings.

  23. Tock, eliminate no-shows: three Tock tools

    Tock Checked

    Tools and outcomes Tock reports about itself for restaurant deposits and prepayment.

  24. McKinsey, the agentic commerce opportunity

    McKinsey Checked

    A 2026 consultancy report on where agent commerce is heading; direction, not proof for prepaid local services.