Automation that's too hard to start
Setup, scripting, and tooling overhead stop teams from ever shipping their first automated test.
Test Readiness
Easily identify automation-ready tests
Use AI to review your manual test cases in Qase and check which are ready for automation. It highlights missing data, unclear steps, or dependency issues, suggests small edits so conversion works on the first try, and tells you which ones to prioritize.
Auto-grades cases from easy to difficult to automate.
Surfaces missing data and ambiguous steps before conversion.
Conversion
Convert manual tests to automated
Turn any supported manual case in Qase into an automated test in one click. Qase builds the steps, identifies selectors, and prepares the data, then stores it in your automated repository ready to run securely on Qase-managed cloud infrastructure. No code or test infrastructure required.
One-click manual → automated conversion.
Generates API steps (cURL) alongside Canvas-based UI interactions.
Validates the visual layer and the underlying data in one flow.
Generation
Generate tests from requirements
Start from a requirement in Jira, GitHub, or Qase, or paste plain text. Qase generates test cases and runs them once to confirm they pass before saving. Cover new features fast without waiting for automation experts.
Pull requirements directly from Jira, GitHub, or Qase.
Cases are validated by a real run before they're saved.
Debugging
Debug with plain English
When a test fails, use AI in Qase to get a plain-language explanation and visual timeline of the steps. Logs, screenshots, and traces sit in one place so you can tell whether the problem is in the app, the test, or the environment. AI suggests fixes and self-healing keeps your suites running.
Plain-language failure summaries with visual timelines.
Self-healing tests adapt to small UI and selector changes.
Transparency
Non-black-box approach
Each run includes a step-by-step screencast so you can see exactly what the AI did. Generated test cases are automatically marked so your team always knows which ones came from AI. When you want full control, export all generated code for further analysis or manipulation in your own tools.
Screencast of every Qase run.
Export to Playwright, Cypress, or Selenium in Python, JS, or TS.
