How it works

When an agent gets it wrong

Agents make mistakes, and the operating model assumes it. Errors are bounded by scoped permissions and volume limits, caught by human review and evaluation, reversible because every action is recorded, and fed back as signal that improves the agent. The right question in diligence is not whether agents err, but what happens when they do.

Containment

Mistakes are bounded before they are made

The first defense is scope. An agent operates with least-privilege access and defined limits on what it may change and how much it may change in a period. A wrong decision affects the records that agent was permitted to touch, not the whole instance.

The second is the approval gate. Consequential actions do not execute until a person accepts them, so the most damaging class of error is caught before it reaches a customer or a commercial record.

Detection

Evaluation runs continuously, not at launch

RevTech evaluates agent output on an ongoing basis — quality checks on the work itself, plus the strongest available signal: how often a human edits or rejects what an agent proposed.

A rising edit rate on one agent and one action type is an early warning, and it is visible before it becomes a complaint.

Human edit and rejection rates, tracked per agent and action type
Output quality checks against expected structure and evidence
Volume and rate anomalies against normal operating patterns
Escalation when an agent cannot source what it needs to act

Recovery

Recorded means reversible

Because every action carries its actor, timestamp, evidence, and prior state, a wrong change can be identified and rolled back rather than archaeologically reconstructed.

RevTech operates the service, so remediation is our work rather than a ticket for your team, including tightening the rule, prompt, or routing that produced the error.

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Frequently asked questions

Operationally, RevTech — we run the agents and remediate their failures. Commercially, decisions remain with the people who approve them, which is precisely why consequential actions carry an approval gate.

Yes. Action history covers what agents did, what was approved, what was edited, and what was rejected. That record is available to you rather than being internal RevTech telemetry.

Then either the rules or the context are wrong, and both are fixable. Persistent low-quality output for a specific motion usually means a definition is missing rather than that the model is incapable.

Demo

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See agents carry the repeatable work of GTM across sales, marketing, customer success, and RevOps. Every action prepared, reviewed, and recorded. Fictional data, real product.

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