Agentic commerce is emerging as a payments strategy, with banks expected to provide trusted execution, controlled delegation, and robust fraud and consent safeguards.
Agentic commerce is moving from concept to payment strategy. UK Finance has already told the FCA that the combination of agentic AI, payments and data sources such as Open Banking could create AI intermediaries able to act on consumers’ behalf to make purchases and access financial products.
For banks, the core issue is not whether AI can recommend products. It is about whether payments can be executed with the right controls around identity, consent, fraud, payee verification, auditability, and customer protection. That is where long-term value will sit. In agentic commerce, the winning institution is likely to be the one that provides the trust layer, not just the user interface.
This topic is important now because the infrastructure is becoming more compatible with delegated action. In the UK, the FCA’s new open finance roadmap sets out a path from vision to delivery through 2030, linking that future to stronger authentication, consent, and trust. Across Europe, verification regulations, for example, in instant payments, are tightening as well. As the ECB states, under the Instant Payments Regulation, payment service providers must offer verification of payee for both standard and instant credit transfers. The European Payments Council’s Verification of Payee scheme adds an inter-PSP rules-and-standards layer to SEPA as well.
Those developments matter because agentic commerce does not require a radically new payment rail. It requires controlled delegation across existing and emerging rails. An AI agent needs controlled, secure access to payment initiation and reliable payment confirmation.
That is why banks should think in terms of operating models rather than innovation. One useful framework is to examine four independent models within its agentic commerce service offering.
- Model A, Copilot Checkout, keeps the customer in the loop: the agent guides the journey, but the user confirms payment.
- Model B, Delegated Autopay, allows payments within defined rules, such as amount, category, or geography, which is relevant for subscriptions and repeat purchases.
- Model C, Network Agentic Environment, extends the model to include tokenisation, cross-border corridors, and broader network support.
- Model D, B2B Agentic Procurement, applies the same logic to corporate purchasing with policy controls, budget rules and approval matrices.
These are not science-fiction use cases, but structured trust models born of consumers’ and banks’ experience with agents to date.
For financial institutions, the practical implication is the need for a modern platform rather than an isolated AI layer. The platform must combine payment orchestration, authentication, tokenisation, and advanced fraud prevention with behavioural analytics and full auditability. In that context, vendors are positioned well with white-label payment orchestration solutions for banks. Technology platforms designed to work with emerging payment messaging protocols and leverage advanced fraud-prevention features keep the financial institution in control of payment data and flow. That matters because the institution that holds all the ropes is more likely to remain central even if the customer journey is complex and handled by external AI agents.
Regulation reinforces that direction. For banks, governance cannot be neglected. Existing norms around resilience and consumer protection must now operate in an AI-regulated payment environment.
Fraud risk should not be neglected as well. UK Finance’s 2025 fraud report says that purchase scams accounted for 71% of all APP scam cases in 2024, and that 85% of purchase scams originated online. If banks introduce delegated commerce without upgrading fraud controls, they risk scaling the same vulnerabilities into faster, more automated journeys.
That is why the fraud control layer needs to improve in parallel or even before agentic commerce scales. Banks should look for technology that supports real-time behavioural analytics, anomaly detection, merchant and payee risk checks, limit setting, and case management.
What should banks do in the next 12–24 months?
Banks should define an AI payments policy framework covering limits and revocation rights in the wake of AI agents and modernise orchestration so that payment initiation, tokenisation, and fraud checks run on a unified platform.
There is no shame in starting small. As we all know, it’s better to be safe than sorry. Financial institutions should start with lower-risk journeys, such as checkout steps as mentioned in Model A above, before moving to autonomous repeat payments or B2B agentic procurement.
Agentic commerce does not remove banks from the value chain. It shifts value toward whichever institution can provide trusted execution, controlled delegation and customer protection. In the UK and Europe, where open finance, KYC, and AI moderation are all advancing in parallel, banks need to approach this strategically rather than opportunistically. The control of operations is important. From security will come trust. From trust—market dominance.
