
Synthetic marketing illustration of draft and active policy versions.
Decision control for AI agents
GateOR evaluates proposed actions before your application acts.
A capable agent can still propose the wrong amount, miss an exception or act with incomplete evidence. Put a decision checkpoint before the action reaches your business system.
Explore use casesYour application sends the action and relevant business context to GateOR.
Explicit policies produce a decision with reasons. Exceptions can become human reviews.
Execute after a final ALLOW, wait for REVIEW, and refuse BLOCK or failed evaluations.
The proposal may proceed after a final ALLOW.
Hold the action for human judgment.
The proposal must not proceed.
Does it comply with business limits?
Is it within standard past decisions parameters?
Is there enough and valid evidence to support this decision?
From setting boundaries to reviewing exceptions, keep your team in control of the decisions that matter.
Set clear limits, exceptions and review conditions so agents can act within boundaries you control.

Synthetic marketing illustration of draft and active policy versions.
Track what was allowed, sent to review or blocked, and understand how your agents are behaving over time.

Synthetic initial-decision counts and trends, not customer results.
Route exceptions to a person, inspect the context and approve or reject with confidence.

Synthetic, conceptual review layout. Controls shown are illustrative.

Refund approvals, discount offers, returns and replacements.

Credit approvals, fraud alerts and account adjustments.

Claim assessments, payouts and coverage exceptions.

Shipment changes, urgent deliveries and extra costs.

Purchase approvals, supplier payments and budget exceptions.

Service credits, subscription changes and special discounts.
GateOR exposes API endpoints your application can use to access our Validation Engine. We help you put the workflow in place and get it running.
APIYour app uses GateOR's response
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