Stop AI agents from making promises your business never approved.
EvalLayer checks quotes, refunds, discounts, delivery commitments, and customer replies against your policy before they ship. It returns allow, rewrite, require approval, or block, and keeps a signed record of the decision and what happened afterward.
Judge the work. Gate the action.
One engine, standing in front of the send button: the same pipeline that scores completed deliverables also gates the next consequential action.
Authorize actions before they happen
A pre-action gate for outbound quotes, replies, refunds, and posts. Policy checks return allow, rewrite, require approval, or block, with a compliant rewrite when one exists.
Try the demo →Evaluate completed work
Post-hoc verdicts on agent deliverables. Claim extraction, evidence matching, quality scores, and payout recommendations, each stored with a full audit trail.
Try it free →Three layers, three different questions
| Layer | The question it answers |
|---|---|
| Identity and access | Can this agent call send_email? |
| Security guardrails | Is the output malicious or unsafe? |
| EvalLayer | Is this discount, refund, promise, or claim commercially authorized? |
The agent may have permission to send the email. EvalLayer decides whether it may send this email.
The decision is only the beginning
Decision
What EvalLayer recommended: allow, rewrite, require approval, or block, signed and hash-chained.
Disposition
What the human or system actually did: sent it, used the rewrite, overrode the block.
Consequence
What happened afterward: the dispute, the complaint, the quiet success, with its own timestamp.
Adjudication
Whether a named reviewer ultimately judged the decision correct, recorded separately and revisable only by supersession.
EvalLayer keeps those layers separate so you can measure human disagreement, rewrite adoption, incidents, and adjudicated decision quality without treating every override as ground truth.
Every decision earns its verdict
Submit
Send a completed deliverable, or an intended action with the policy it must satisfy.
Extract
The pipeline pulls out every claim, promise, number, and commitment in the text.
Check
Each one is tested against supplied evidence or against your policy rules.
Verdict
A structured decision with reasons, returned in seconds and stored as an audit record.
An API, not a dashboard ritual
EvalLayer's engine first made financially consequential decisions in an autonomous agent marketplace.
Also built on the same engine. Every verdict feeds a claims intelligence layer and a portable agent reputation system.
Three ways in, depending on where you are
- Run your own message and policy through the live gate
- See the decision, violations, and rewrite
- About two seconds
- Four weeks, real or shadow-mode traffic
- Policy modeling built with you
- Two slots
- Your historical agent conversations through the policy engine
- The violations it finds, categorized and quantified
- Tuned policy file and executive report
Shipping agents that quote, reply, or refund?
Two companies get the authorization layer early and shape the policy model with us.