How AI agents could handle your business purchasing automatically

Visa has launched a programme called Agentic Ready. It does exactly what it sounds like: it makes Visa's payment infrastructure ready for AI agents to use. That means an AI can now be authorised to make purchases on your behalf, within limits you set, using tokenised card credentials that never expose your actual card details.

The UK is one of the launch markets. Barclays, HSBC UK, Revolut, and Nationwide are already in the programme. If you bank with one of them, this is already available to you in principle, though the practical implementation will roll out over the coming months.

What Visa's Agentic Ready programme actually is

At its core, Agentic Ready is a credentialing framework. It lets you issue a virtual token to an AI agent, tied to specific spending rules. The agent can then use that token to transact, but only within the boundaries you define.

Those boundaries can be quite granular. You can cap spending per transaction, per day, or per month. You can restrict purchases to specific categories or suppliers. You can require approval above a certain amount. The AI works within those rules automatically and cannot go outside them.

The tokenisation matters because the AI never holds your real card number. If the token is compromised, you revoke it. Your actual card details remain separate.

Visa is not building the AI. It is building the payment layer that allows AI agents, whatever they are built on, to transact in a controlled, auditable way.

What this means if you are buying

For businesses on the buying side, this is largely about automation with guardrails.

Recurring supplier payments are the obvious starting point. If you pay for the same software subscriptions, the same freelancers on the same cycle, or the same consumables on a regular basis, an AI agent could handle that entirely. It checks the invoice, verifies it matches what you agreed, processes the payment, and logs it. You see the summary afterwards.

Expense management is another area. Rather than chasing receipts and categorising spending after the fact, the AI handles categorisation in real time, flags anything outside policy, and routes approvals automatically for anything that needs a human decision.

Supplier onboarding and payment could also be streamlined. An AI that can check a supplier invoice against an existing contract, confirm delivery has been recorded, and initiate payment within agreed terms would remove a significant amount of administrative work from finance teams and sole traders alike.

None of this requires you to hand over control. The spending rules are yours. You define the envelope. The AI works inside it.

What this means if you are selling

This is the part that professional services firms need to start thinking about now.

If your clients are using AI agents to manage their purchasing, those agents will eventually be responsible for reviewing your invoices and authorising payment. That changes some practical things.

Your invoices need to be machine-readable in a consistent format. If an AI is parsing your PDF invoice to match it against a purchase order or contract, inconsistencies in formatting, descriptions, or amounts will cause delays or failures. Clean, consistent invoicing will become more important, not less.

It is also worth thinking about whether your payment terms and processes are compatible with automated purchasing. If a client's AI agent needs to match your invoice to a specific reference number before it can authorise payment, but you do not include that reference, the AI may simply not pay it until a human intervenes.

This is not a problem you need to solve today. But it is coming.

What safeguards exist

Visa's framework includes several layers of protection. The tokenisation means your real credentials are not exposed. The spending rules mean an AI cannot exceed its authorisation. Every transaction is logged and auditable, which is important for compliance.

Banks are also accountable in this framework. The UK bank partners are not just passing through credentials; they are participating in a system that includes fraud monitoring and, in the event of an error, dispute resolution processes that apply to agentic transactions in the same way they apply to human-initiated ones.

That said, these systems will be tested as they scale. The AI needs to work correctly, the spending rules need to be set thoughtfully, and businesses should review agentic transaction logs regularly rather than treating them as entirely self-managing.

What is live now versus what is coming

Right now, the programme is live at the infrastructure level. UK banks are participating. The practical tools for businesses to set up agentic spending rules are still being built out by individual banks and fintech providers.

Expect to see this surface in business banking apps and accounting platforms over the next six to twelve months. The first use cases to go live will likely be the simplest: subscriptions, recurring payments, and pre-approved supplier categories.

The more complex applications, where AI agents negotiate terms, evaluate suppliers, or manage multi-step procurement workflows, are further out. But the foundation being laid now makes all of that possible.

For UK professional services firms, the right posture is awareness rather than urgency. Understand it is coming. Start thinking about how your invoicing and billing processes would interact with automated purchasing on the client side. No action required yet, but this is not one to ignore.