How does Visa verify the identity of an AI agent?

Visa verifies AI agents through a verification layer that sits above standard payment tokenization. Standard tokens protect a card or account for a transaction. Agentic tokens are different. They are issued only after an agent is authorized to act on behalf of a verified business or funding source, and they are bound to context ,who the agent represents, what it’s allowed to do, and under what conditions. This approach allows Visa to verify not just the payment credential, but the agent’s authority to initiate the action, so autonomous payments can occur without requiring a human to be present each time. Using capabilities like Cloud Token Framework and trusted agent protocol, Visa ensures agent‑initiated payments are tied to issuer trust and policy controls. This allows VIC to verify not just the payment credential, but the agent’s authority to initiate the transaction, enabling safe autonomous commerce.

What are the primary fraud risks in agentic commerce?

The primary fraud risks in agentic commerce come from unauthorized actions, misconfigured permissions, and automation at scale. Because AI agents can operate continuously, small issues can repeat quickly if they’re not detected early. Visa mitigates these risks through real‑time monitoring and policy‑based controls. Agent‑initiated transactions are evaluated using existing fraud signals along with additional context, such as behavioral patterns, additional risk identifiers such as device identifiers and deviation from expected activity. This helps identify and contain risk while keeping legitimate transactions flowing.

How do AI agents maintain compliance for financial institutions?

In agentic commerce, compliance is enforced before execution, not after the fact. AI agents operate within pre‑defined spend controls, approval rules, and regulatory constraints set by the business or financial institution. Payments can only be initiated if those conditions are met, such as approved suppliers, limits, timing, and usage rules. This model allows financial institutions to maintain compliance and auditability while reducing manual oversight, even as payment execution becomes more automated.

How does agentic checkout differ from traditional payment APIs?

Traditional payment APIs are transaction‑driven, they’re triggered when a user initiates a checkout. Agentic checkout is intent‑driven and continuous. AI agents monitor invoices, contracts, or system events and initiate payments automatically when predefined conditions are met. Instead of a one‑time API call, payments become part of an ongoing workflow that runs in the background.

Can agentic payments help automate B2B reconciliation?

Yes. Agentic payments can help automate reconciliation by keeping context attached throughout the payment flow. Because the agent could manage invoices, approvals, and execution as a single continuous process, payment data could stay aligned with the underlying business records. This reduces manual matching, exceptions, and follow‑ups, lowering back‑office effort for finance teams.

How does “continuous flow” improve supplier cash flow?

Traditional B2B payments rely on batch processing and delayed settlement, which slows supplier cash flow. Continuous flow shifts payments to event‑driven execution, allowing funds to move as soon as contractual or operational conditions are satisfied. By reducing delays between approval and settlement, suppliers receive funds faster and more predictably, supporting supplier cash flow optimization.

Agentic AI can enable businesses to transact with intelligence and confidence

Built-in security, controls, and consumer protections help suppliers and buyers trust agents to transact with autonomy.

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AI is already powering how our clients work

Agentic AI’s impact on B2B payments is taking shape

B2B commerce is entering the age of autonomous decision-making.

The way businesses pay, process payments, and grow has the potential to be redefined, and the opportunity is huge. For suppliers and buyers alongside issuers and fintechs, this isn’t just an exciting shift, it’s a strategic one.

Agentic AI’s role in commercial payments

Protection

Current state

Sensitive data may be involved in payment transactions, leaving buyers and suppliers vulnerable to fraud.

How Agentic AI can help

Embedded protections can help detect suspicious behavior early, stopping fraud before it reaches banks, platforms, or suppliers.

Process

Current state

There is not always clarity around who at an organization has initiated a payment, who is responsible for it, and who authorized it.

How Agentic AI can help

Agents can provide embedded internal compliance and optimized settlement processes that clearly track authorizations and approvals.

Possibiity

Current state

Clients may not be aware of their own behaviors and patterns with regards to working capital.

How Agentic AI can help

Agentic AI can help surface insights and nudge action, enabling deeper business insights.

Seem futuristic? It’s not

Agentic AI has the potential to reshape how business gets done. Here are some real-world examples of how Agentic AI is being utilized:

Streamline onboarding

Use agents to guide buyer/supplier onboarding with custom screening and real-time data checks.

Negotiate terms

Agents can simulate scenarios, revise terms, and accelerate agreement.

Simplify invoicing

Agents can generate dynamic invoices with tailored terms, and flag errors before they occur.

Accelerate financing

Use agents for real-time credit recommendations and adaptive underwriting.

Fulfil orders/procurement

Agents can handle orders with ERP systems and third parties in real-time.

Orchestrate payments

Agents can carry out conversational payments and detect potential fraud in real-time with unstructured data.

AI in fraud detection and risk scoring

Your agentic questions answered

: Visa verifies AI agents through a verification layer that sits above standard payment tokenization. Standard tokens protect a card or account for a transaction. Agentic tokens are different. They are issued only after an agent is authorized to act on behalf of a verified business or funding source, and they are bound to context ,who the agent represents, what it’s allowed to do, and under what conditions.

This approach allows Visa to verify not just the payment credential, but the agent’s authority to initiate the action, so autonomous payments can occur without requiring a human to be present each time. Using capabilities like Cloud Token Framework and trusted agent protocol, Visa ensures agent‑initiated payments are tied to issuer trust and policy controls. This allows VIC to verify not just the payment credential, but the agent’s authority to initiate the transaction, enabling safe autonomous commerce.
: The primary fraud risks in agentic commerce come from unauthorized actions, misconfigured permissions, and automation at scale. Because AI agents can operate continuously, small issues can repeat quickly if they’re not detected early.

Visa mitigates these risks through real‑time monitoring and policy‑based controls. Agent‑initiated transactions are evaluated using existing fraud signals along with additional context, such as behavioral patterns, additional risk identifiers such as device identifiers and deviation from expected activity. This helps identify and contain risk while keeping legitimate transactions flowing.
: In agentic commerce, compliance is enforced before execution, not after the fact. AI agents operate within pre‑defined spend controls, approval rules, and regulatory constraints set by the business or financial institution. Payments can only be initiated if those conditions are met, such as approved suppliers, limits, timing, and usage rules. This model allows financial institutions to maintain compliance and auditability while reducing manual oversight, even as payment execution becomes more automated.
: Traditional payment APIs are transaction‑driven, they’re triggered when a user initiates a checkout. Agentic checkout is intent‑driven and continuous. AI agents monitor invoices, contracts, or system events and initiate payments automatically when predefined conditions are met. Instead of a one‑time API call, payments become part of an ongoing workflow that runs in the background.
: Yes. Agentic payments can help automate reconciliation by keeping context attached throughout the payment flow. Because the agent could manage invoices, approvals, and execution as a single continuous process, payment data could stay aligned with the underlying business records. This reduces manual matching, exceptions, and follow‑ups, lowering back‑office effort for finance teams.
: Traditional B2B payments rely on batch processing and delayed settlement, which slows supplier cash flow. Continuous flow shifts payments to event‑driven execution, allowing funds to move as soon as contractual or operational conditions are satisfied. By reducing delays between approval and settlement, suppliers receive funds faster and more predictably, supporting supplier cash flow optimization.

We’re ready to help you integrate Agentic AI today

Our secure APIs, platforms and consulting expertise can help businesses use agentic commerce to move forward securely, and at scale.

AGENTIC COMMERCE IN ACTION

Visa Intelligent Commerce

Enabling AI agents to buy securely and with ease

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World Bank Group, 2024, Who on Earth Is Using Generative AI?
NVIDIA, 2024, State of AI in Financial Services: 2024 Trends
McKinsey, 2023, The Economic Potential of Generative AI
Jack Forestell speech at Wolfe Research FinTech Forum in New York, March 2026
Visa, 2025, AI and Trust at Scale — Securing the Future of Payments
CSO, 2022, How Visa fights fraud