Govern the AI Workers you build, buy, or deploy — with customer-controlled identity, authority, human oversight, and evidence.

AI Testing Governance

Govern AI-assisted testing before it touches critical systems.

Define what an AI testing worker may draft, what requires human review, and what must remain blocked before any tool or release path is involved.

Where It Helps

Use AI for testing without losing the human decision boundary.

Start with the work the testing worker may prepare, then separate drafting from execution and release authority.

Plan and generate

Prepare risk-focused test plans, coverage questions, and candidate manual, API, UI, data, integration, or workflow tests for human review.

Request controlled execution

Keep tool use behind Passport scope, Toll Gates, Human Review, a scoped Runtime Permit, and an Action Broker decision.

Preserve evidence

Record the source, owner decision, run reference, outcome, exception, defect, and remediation path without turning evidence into approval.

Governed Path

Move from testing idea to controlled request.

  1. Classify the work. Identify the owner, test type, data sensitivity, production proximity, systems, risk, and decision consequence.

  2. Define the worker boundary. Use the Blueprint and Passport to state what the worker may draft, inspect, simulate, request, or report—and what it may never approve, alter, deploy, delete, or execute.

  3. Gate consequential action. Apply Toll Gates and Human Review. If execution is approved in scope, require a short-lived Runtime Permit and route the exact request through the Action Broker.

  4. Close with evidence. Preserve the reviewed plan, decision, run reference, result, exception, defect, and remediation outcome in the activity and evidence trail.

This page is a public-preview planning artifact. It does not connect testing tools, run automated tests, approve production testing, authorize deployments, certify compliance, validate security posture, or replace accountable owner review.

Next Step

Turn one testing opportunity into a governed AI Worker Blueprint.

Define the work, owner, prohibited actions, systems, data boundary, human-review path, and evidence needs before considering tool access.

Public preview - Materials support readiness planning and do not authorize production use.