Use cases

Put the stop button before the action.

Featherlane AI is the control layer between an AI system's proposed action and the provider, payment rail, or tool that makes it real.

Start with one of six boundaries we support today: shell execution, outbound email, agent spending, model usage, x402 payments, or another consequential workflow action.

Map your control point

One role, clearly bounded

The rail executes. Featherlane AI decides.

That separation makes the control portable. You can change providers, rails, or workflow tools without moving the policy and evidence boundary back into the agent prompt.

01

Not the model provider

We meter and control model and tool calls. Your chosen provider or executor still performs the work.

02

Not the payment rail

We authorize the spend. x402, Stripe, PayPal, cards, or your existing system still move the money.

03

Not another workflow system

We guard the commit point. Your agent, AP tool, support stack, or application still owns the workflow.

Start with one boundary

Which action are you still afraid to automate?

Bring the shell command, provider call, x402 payment, refund, invoice, payout, email send, or tool action. We will map what must be checked, where the hold belongs, and what proof you need afterward.

Talk through the action