What are agentic payments?
How AI agents pay for services, make purchases, and issue refunds, and where spending controls come in.
On this page
Agentic payments are payments that an AI agent requests or makes while carrying out a task, such as buying data or paying a supplier.
Why agent payments need spending rules
Permission to complete a task should also specify what the agent may spend.
A payment may complete before someone notices a mistake. Check the request before sending it.
Assign a budget owner and keep a record of each payment decision.
A payment check compares what the agent wants to pay with the rules its team has set. The request can proceed, stop, or wait for a person. We explain the need for these checks in Agentic Payments Are the Wild West.
Where agentic payments show up
A payment often becomes part of a task an agent already handles.
A support agent resolves an issue and wants to issue a refund. A procurement agent finds a supplier and prepares a purchase. A travel agent books a hotel within a trip budget. A claims agent prepares a settlement. An engineering agent calls a paid API and receives an HTTP 402 Payment Required challenge.
For example, a support agent may resolve a billing error and request a refund. The payment check determines whether it may issue that refund or needs approval.
After payment, the record should show what was requested, which rules applied, and whether the transfer completed.
The enterprise opportunity
A business might let a procurement agent buy approved supplies within a department budget.
A larger order can require approval from the person responsible for that budget.
The same approach applies to contractor payouts, compute purchases, and customer credits, with rules suited to each task.
When agents handle these payments, finance still needs to explain the spending and review unusual requests. Our view of the opportunity for businesses is explored in The Enterprise is the Biggest Opportunity for Agentic Payments.
What makes this different from subscriptions, invoices, and checkout
A subscription usually has a known vendor and billing schedule. An agent may choose the vendor, amount, or payment method during a task.
For example, a research agent may compare data providers and request payment only when it finds a useful result.
Check the proposed payment against the owner’s rules. A budget mentioned in the conversation is not an enforced spending limit.
A simple agentic payment example
A procurement agent compares three approved data providers and requests $18 for a dataset.
Conto checks the recipient, amount, and remaining budget. The request can proceed, stop, or wait for approval.
The payment result is recorded separately from the approval, so the team can see whether money was sent.
The core payment actions
Each pattern needs its own limits and review rules. Conto's solutions library maps these patterns to concrete payment workflows.
What has to be controlled
Agentic payments need more than a balance and a private key.
The basic flow
The agent submits an amount, recipient, and purpose to Conto.
Conto checks the rules assigned by the budget owner and returns a decision.
The connected payment system follows that decision and reports the result.
A control layer between agents and settlement
Agents and operators connect through product and developer surfaces. Conto checks each request, routes exceptions to a person, and records the decision. Settlement happens on whatever rail the agent's wallet uses.
Conto
Every connected request is checked and scored before it is sent, then logged with full context.
Apply the owner’s limits, recipient rules, categories, and payment frequency.
Trust and risk scores on every counterparty.
Ask the owner’s authorized reviewers before execution.
A governed wallet identity for each agent.
From wallets Conto manages or wallets controlled by the agent.
Every payment reconciled with full context for finance, operations, and security.
Where Conto fits
Connect Conto through a managed payment account or your agent’s payment tools. Use supported stablecoin payments or connected cards.
That can look like a hosted Conto Pay account with a managed wallet and approvals. It can also look like a custom agent calling the Conto SDK, an OpenClaw or Hermes skill checking policy before a wallet transfer, or an x402 agent pre-authorizing a paid API call.
When to start thinking about this
Set spending rules before giving an agent access to real funds.
Agree on the budget owner, approval requirements, and payment records while testing the workflow.
Related Conto resources
Try your first agent payment
Choose an agent, set its spending rules, and try a payment with sandbox funds. Check the decision and payment record before going live.
Spend management for AI agents