Use case
AI Agent Refunds - Issue Refunds and Credits Within Limits
A support agent that can refund a customer resolves tickets faster, but an agent with an open refund button is a liability. Cap each refund, cap the day, and make anything large wait for a person.
Pick an agent
Payment intent
intent: ▌
Policy evaluation
Human approval required
This spend is over your approval threshold. Approve it to issue a scoped card, or deny it.
Scoped virtual card issued
Wallet budget
spent of
Audit trail
In short
AI agent refunds are payouts a customer-support agent issues to resolve a complaint, such as a refund or a goodwill credit. Agentspay enforces a per-refund cap, a daily and total ceiling, and a merchant or account allowlist, so an agent cannot over-refund, refund the same order twice, or send money to an account you did not approve. Refunds above your threshold pause for human sign-off, and every payout is attributed to the agent, the ticket, and the policy that allowed it in an immutable audit trail.
The challenge
A support agent that can issue refunds without limits can be talked into over-refunding by a persuasive customer or a prompt injection, and each mistaken payout is real money already gone.
How Agentspay handles it
Agentspay wraps the refund action in policy: a hard per-refund cap, a daily and total limit, and velocity rules that stop a loop from firing dozens of refunds in a row. Anything above the threshold you set, or an unusual pattern, routes to a human for a one-tap approve or deny before the payout settles. Every refund is recorded against the agent, the customer ticket, the amount, and the approver, so finance can reconcile payouts and spot abuse quickly.
Further reading: stopping prompt injection from draining a budget, human in the loop payments, and the Stripe MCP server guide.
The control surfaces
The controls behind it
The surfaces this use case leans on, each enforced before any money moves.
Spend controls
Spend controls
AI agent spend controls are rules that limit what an agent can buy: per-transaction, daily, and total caps, merchant and category allowlists, and velocity limits. Agentspay evaluates them at the API boundary, so a hallucinating or compromised agent is declined before it can overspend, not flagged after.
Learn moreHuman approvals
Human approvals
Human in the loop agent payments means an agent's transaction pauses for human sign-off when it crosses a threshold you set. The agent waits, the request is sent to Slack, email, or a webhook, and nothing settles until a person approves or denies. The decision and approver are recorded in the audit trail.
Learn moreAudit trail
Audit trail
An audit trail for AI agent spending is an immutable, append-only record of every payment an agent made. Each row links the spend to the intent that triggered it, the agent that requested it, the human who owns the agent, the policy verdict, and the approver. It gives you cost attribution, reconciliation, and a record you can defend.
Learn moreAI agent wallet
Agent wallet
An AI agent wallet is a funded, budgeted account that belongs to a single agent. You top it up to a set amount, attach spend limits and rules, and the agent draws from it. Because the wallet is capped and policy-gated, the agent cannot exceed its budget or spend outside the rules you wrote.
Learn moreSee the whole flow in how it works, or check what it costs on the pricing page.
Frequently asked
Questions people ask about Refund agents
Can an AI agent issue refunds?
Yes, and refund handling is a common early deployment because the decision is mostly policy application. The exposure is that refunds move money out with less scrutiny than purchases do, since most fraud controls are built around money coming in rather than going back out.
How do you cap how much an AI agent can refund?
Set both a per-refund ceiling and a cumulative daily or weekly total, since a per-refund cap alone allows an unlimited number of small refunds. The cumulative limit is the one that catches a misconfigured rule or a manipulated agent refunding steadily within its per-transaction allowance.
How do you stop an AI agent from issuing fraudulent refunds?
Constrain refunds to the original payment method and the original order amount, so a refund cannot become a transfer to a new destination. Then gate anything that breaks that pattern, including partial refunds above a threshold and refunds without a matching order, for human review.
Should refunds above a certain amount need human approval?
Yes. A refund threshold is one of the highest-value approval gates you can set, because refund abuse scales quietly and rarely triggers the alerting built around inbound payments. Set the threshold low enough that the unusual cases surface and high enough that routine service recovery is not slowed.
How do you audit refunds issued by an AI agent?
Tie each refund to the original transaction, the agent, the customer, the reason code and the policy decision at the time it was issued. Refund audits usually happen after a pattern is noticed, which is exactly when reconstructing intent from a payment processor export is least practical.
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Fund a capped wallet, write a policy, and issue a scoped virtual card today. Sandbox-first and rail-neutral.
Never moves money without policy