AI test reporting and analytics

Get a quick snapshot of test stability and performance trends across your latest runs. Stop digging through logs when you need to know if you are ready to release.

Complex reports from a simple prompt. AI processes large volumes of test data and shows your team only the relevant parts: risk areas and what changed since the last run.

An intelligent assistant embedded into your testing workflow. It helps you spot details and summarize results at every stage of the test cycle.

A project-level AI audit. The agent scans your entire project to assess coverage and release readiness, then flags untested or risky areas so your team can plan with data instead of guesswork.

The same intelligence at suite level. The tool maps functional area coverage and produces a Suite Stability Report for critical product modules.

Built-in AI analytics for failed runs. Instead of reading logs line by line, the agent identifies which tests broke and clusters errors so you fix one root cause at a time.

AI reads the failure logs together with the test code to explain why a test failed. It also suggests possible fixes, cutting debugging time directly in the Testomat.io UI.

AI analyzes manual descriptions and automated code against five quality dimensions. Returns a Test Case Score plus actionable improvement recommendations.

Flaky tests appear automatically on the widget. Configure your own flakiness rules so the tests flagged match the way your team actually works.

Mark Failed Tests labels every test that failed 100% of the time over the past month. Persistent breakage surfaces to the top of the list instead of hiding in the noise.

Chat with the AI field to find unused or unlinked tests. Remove duplicates and simplify bloated test sets before they slow your team down.

Auto Detach Automated Tests finds automated tests that have not run in the last 45 days and marks them as Detached. Your dashboards stay focused on what is actually active.

AI groups automated test failures by pattern, so you fix one root cause instead of triaging fifty separate errors.

Every AI-generated report is saved automatically to the Insights section. Export any report as a PDF and share it with stakeholders during sprint reviews or release planning.

AI checks how well your test cases cover linked requirements. The report highlights missing coverage to add and redundant tests to remove, keeping your suite aligned with what the product actually does.