Menu
Three stations on a navy table: a card for your testing goal, the QAVision machine, and a review station for a person.

AI test automation, with human control

Less test setup. Faster feedback.

From a testing goal to automated tests and clear results. Your team approves every change.

Request a demo ↗Watch the workflow ↓

How QAVision works

From a ticket to evidence you can trust.

A specialist team. A real test run. A human decision.

A ticket becomes tests, a real CI run and an evidence pack. You approve the pull request.

  1. A Jira ticket comes in.
  2. Specialist agents write UI, API and accessibility tests.
  3. The tests run in your CI; failures go back for a fix.
  4. Results become an evidence pack with a go / no-go verdict.
  5. A person on your team reviews and approves the pull request.
QAVision / Review summaryExample run
Sign-in flow
Validates successful authentication
Passed
Error message
Validates error handling and feedback
Needs attention
Proposed test changes
Test files changed, with the diff attached
Awaiting review

Evidence attached. Human review required.

Illustrative example. Not a real customer run.

Automation you can inspect

Clear results. A human decision.

See what ran, what failed and what changed before your team approves anything.

What it tests
UI, API, accessibility (Section 508 / WCAG 2.1 AA) and performance. It doesn't write unit or security tests.
Where tests run
In your own CI pipeline, against your environments.
What you get
Playwright tests in TypeScript or Java, delivered as pull requests with their results.
Who approves
A person on your team. Agents never merge.
Integrations
Jira, Slack, TestRail and GitHub Actions.
AI providers
Only the ones you approve, and every call is logged.

Meet the agent team → · How we keep it safe →

See QAVision on your own application.

30 minutes · bring your security team
Request a demo ↗Read about security →