Let agents work.
Keep control.
Keyline Gateway checks what an AI agent is allowed to do, pauses risky actions for approval, and verifies what actually happened.
An agent asks to act. Then what?
The request should not jump straight from a chat window into a live system.
You set the boundary.
Choose the systems, accounts, actions, spending limits, protected resources, and approval rules that apply.
Gateway checks the exact action.
Routine work can pass automatically. A production change or payment can wait. A destructive action can be blocked entirely.
A person steps in when it matters.
Approval is tied to the exact commit, amount, recipient, system, or record. If the action changes, the old approval no longer counts.
The result gets checked.
Gateway looks at the outside system after execution and records whether the authorized result actually occurred.
No mystery audit trail.
A completed action should answer six plain questions:
- Who gave the instruction?
- What did the agent ask to do?
- Which rule applied?
- Did a person approve it?
- What actually ran?
- What changed afterward?
Start with one system, one workflow, and one real risk.
A pilot can begin with a GitHub merge, a Stripe payment, an AWS change, a Salesforce update, or another consequential action. We map the workflow, decide what can pass, decide what needs a person, and verify the result in the real system.
This is founder-led work for teams already giving agents meaningful access, not a generic software demo.