- Category:
Development
- Service:
Development
- Client:
TestRail
- Date:
June 12, 2022
TestRail – Leading QA Management Platform
Background: TestRail is the platform that many software teams use to manage their testing. Yet internally, their own QA processes faced challenges: manual regression testing consumed time, created bottlenecks, and sometimes allowed bugs to escape into production. For a company positioning itself as the leader in QA management, this was a credibility issue.
Challenge: Each new release demanded multiple manual passes, slowing down product development. Engineers grew frustrated by delays, and customers noticed occasional stability issues in new features. The lack of automation hurts both productivity and brand trust.
Solution (Cognara):- Cognara implemented an AI-powered QA pipeline that:
- Automated thousands of regression test cases.
- Ran tests in parallel, cutting cycle time significantly.
- Detected anomalies early, flagging issues in real time.
- Integrated reporting directly into TestRail itself, giving engineers actionable data instantly.
- QA-to-production cycle shortened by 35%.
- Critical bug count reduced, improving customer satisfaction.
- Stronger internal adoption of TestRail, as engineers saw tangible reliability gains.
Positioning advantage: TestRail could now showcase their own product’s AI-boosted QA as proof of value.
Impact Beyond Numbers:- Beyond saving time, this project became a story TestRail could tell its customers. By “dogfooding” AI inside their own QA process, they not only improved internally but also enhanced credibility in the marketplace. Customers trusted a platform that trusted itself.
- Lite Version (for decks/LinkedIn):
Challenge: Manual QA slowed releases and risked credibility.
Solution: AI regression agents integrated with TestRail.
Results: 35% faster cycles, fewer bugs, stronger adoption, credibility boost.