Agentspay

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.

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.

See the whole flow in how it works, or check what it costs on the pricing page.

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Let this agent spend safely

Fund a capped wallet, write a policy, and issue a scoped virtual card today. Sandbox-first and rail-neutral.

Never moves money without policy