Decision control for AI agents

Your agents act. Your business stays in control.

GateOR evaluates proposed actions before your application acts.

An agent’s ability to act needs boundaries.

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 cases
  1. The agent proposes an action.

    Your application sends the action and relevant business context to GateOR.

  2. GateOR evaluates the proposal. (How?)

    Explicit policies produce a decision with reasons. Exceptions can become human reviews.

  3. Your application follows the decision.

    Execute after a final ALLOW, wait for REVIEW, and refuse BLOCK or failed evaluations.

ALLOW

The proposal may proceed after a final ALLOW.

REVIEW

Hold the action for human judgment.

BLOCK

The proposal must not proceed.

What contributes to a decision?

Explicit Business Rules

Does it comply with business limits?

Statistical Analysis

Is it within standard past decisions parameters?

AI Cross Validation

Is there enough and valid evidence to support this decision?

Business rules. Clear decisions. Human control.

From setting boundaries to reviewing exceptions, keep your team in control of the decisions that matter.

  1. Define business rules without slowing down your team.

    Set clear limits, exceptions and review conditions so agents can act within boundaries you control.

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

    Synthetic marketing illustration of draft and active policy versions.

  2. 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.

    Synthetic initial-decision counts and trends, not customer results.

  3. 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.

    Synthetic, conceptual review layout. Controls shown are illustrative.

What kind of decisions might your agents need supervision for?

Clothing and an open shipping box at a retail fulfillment counter

Retail & E-commerce

Refund approvals, discount offers, returns and replacements.

A payment card held beside a laptop in a modern workspace

Banking & Fintech

Credit approvals, fraud alerts and account adjustments.

A claims assessor with a clipboard inspecting a parked car

Insurance

Claim assessments, payouts and coverage exceptions.

Parcels and a pallet truck in a distribution warehouse

Logistics & Operations

Shipment changes, urgent deliveries and extra costs.

Professionals reviewing purchase documents beside a calculator

Procurement & Finance

Purchase approvals, supplier payments and budget exceptions.

A customer success professional working at a laptop with a headset

SaaS & Customer Success

Service credits, subscription changes and special discounts.

Integrate GateOR into your application

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.

Your application
Proposed action
Decision returned
GateORAPI
Validation engine

Your app uses GateOR's response

  • ALLOWExecutes
  • REVIEWPauses
  • BLOCKRefuses

Let’s schedule a demo.

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