AI test automation for QA teams
Writing test cases by hand from a 60-page BRD, then scripting them, then keeping them working — that is most of a QA team’s week. TestFlair hands the repetitive part to AI agents so testers spend their time on judgement: reviewing coverage, exploring risk and deciding what ships.
From requirements to a reviewed test suite
Upload requirements documents or import user stories from Jira. TestFlair extracts user stories, then generates test cases for each one — including negative paths and edge cases — for your team to review, edit and approve.
Scripts and execution without the plumbing
- Generate Java or Python scripts for Selenium or Playwright from approved test cases.
- Run them in the cloud with logs, screenshots and recordings.
- Test apps on localhost or a private network through a secure tunnel — no public deployment needed.
- Group executions into test runs to track a release.
Bugs that write themselves
When a test fails, TestFlair drafts the bug report with steps and evidence, linked to the failing test case. Push it to Jira, GitLab or GitHub instead of retyping it.
Frequently asked questions
Does TestFlair replace QA engineers?
No. It automates writing test cases and scripts and filing bugs. QA engineers stay in control of test intent: they review what is generated, decide coverage and judge the results.
Can we use our existing Jira stories?
Yes. Import user stories from Jira Cloud or self-hosted Jira, with AI-assisted field mapping. Imported items keep a link back to the original issue.
