AI agent payment gateway

Add a policy gate before the payment gateway.

Provider-compatible gateways make it easy for agents to call models and tools. Featherlane AI adds the missing action boundary: a check that evaluates the proposed charge, refund, booking, or account change before it reaches the payment provider.

Failure modes

Gateway traffic needs money-action context.

  • A model request looks normal, but the attached tool action charges a card.
  • A provider route can forward traffic without knowing the user spend cap.
  • A refund or order edit needs approval before the gateway completes it.
  • A payment rail can prove identity while still missing transaction judgment.

Runtime check

What to enforce before forwarding

Provider-compatible routing

Keep your existing provider flow while checking money-moving action metadata first.

Per-action policy

Evaluate each charge, refund, booking, or account change against caps and approval rules.

Trace headers

Attach a trace id so the downstream app can connect provider responses to guard decisions.

Audit proof

The gateway should leave evidence

ok Route and provider context
ok Action metadata checked before forwarding
ok Allow, block, cap, or hold effect
ok Trace id attached to the decision path

Questions

What teams ask before they wire it in.

Is Featherlane AI a payment processor?

No. It is a guard and audit layer before your app calls the payment, checkout, booking, or provider route.

Can this work with model gateways too?

Yes, when the gateway has enough action metadata to know what the agent is about to do before it forwards the call.

Ship the check

Put a effect between the agent and the action.

Bring a real checkout, refund, booking, or invoice flow. We will map the exact pre-action check and the audit record it should leave behind.