GateOR · Decision control for AI agents

Business rules. Clear decisions. Human control.

Define explicit business limits, see how proposals are classified and send exceptions to people who can resolve them.

The product illustrations on the landing use synthetic data. They do not depict real customer outcomes.

Three validation engines. One controlled decision.

GateOR evaluates proposed agent actions through three complementary engines:

  • Business rules defined by your organization determine your policies and limits.
  • Statistical analysis flags unusual patterns against historical data.
  • Adversarial AI validation examines context and reasoning.

Together, they help determine whether an action should be allowed, blocked or sent for human review.

GateOR Policies illustration showing a draft policy version alongside an unchanged active version, with refund limits, account-age and duplicate checks.

See recent decisions at a glance.

Track what was allowed, sent to review or blocked, and understand how your agents are behaving over time.

GateOR Dashboard illustration with ALLOW, REVIEW and BLOCK counts, daily decision volume and pending human reviews, using synthetic data.

Review sensitive decisions before they become actions.

Route exceptions to a person, inspect the context and approve or reject with confidence.

Conceptual GateOR Human review layout with four pending refunds flagged for amount limit, new account, low caller-supplied agent confidence, or combined reasons, with illustrative Approve and Reject controls.

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