A real consequential action
A refund, account change, approval, disclosure, transaction, access change, or another action with meaningful business impact.
Explore an Axtor pilot
Bring us one consequential action.
Start with one focused AI action. We’ll explore how Axtor can evaluate scope, intent, evidence, policy, authority, and risk before execution, without requiring a large enterprise transformation.
Describe your use caseNot sure whether your use case is a fit? Read the Axtor FAQ
What makes a good pilot
Start narrow. Prove the control boundary.
Evidence already exists somewhere
Relevant conversations, transactions, customer records, policies, contracts, approvals, or other business context already exist.
A decision can be evaluated
The workflow can produce an observable runtime outcome such as ALLOW, BLOCK, CLARIFY, or APPROVAL.
Example pilot
One action is enough to start.
A pilot can begin with one narrowly defined action and a representative evidence set. The goal is to test whether Axtor can distinguish actions that are sufficiently supported from actions that should be blocked, clarified, or require approval.
Customer request“Refund the duplicate charge.”
AI proposesRefund $750
Axtor evaluatesScope · Intent · Evidence · Policy · Authority · Risk
Describe your use case
Explore a focused pilot.
Tell us about one action, the context around it, and why getting the runtime decision right matters.
You do not need a production-ready agent. A pilot can start with a representative workflow, sample evidence, and shadow-mode evaluation.
Not ready for a pilot?Contact us →