Automation and optimization for global test management

Background

A leading test case management SaaS platform is trusted by software teams worldwide to manage their QA processes. Internally, however, their own release workflows faced familiar challenges. Manual regression testing consumed significant engineering time, created bottlenecks, and occasionally allowed defects into production. For a company positioned as a leader in QA, this represented both an operational and credibility risk.

Challenge

Each release required multiple manual regression passes, slowing development velocity and frustrating engineering teams. Delays impacted feature delivery, while occasional stability issues affected customer trust. The lack of scalable automation limited productivity and conflicted with the company’s position as a QA authority.

Solution (Cognara)

Cognara implemented an AI-powered QA pipeline tightly integrated into the platform’s existing workflows. The solution:

• Automated thousands of regression test cases
• Executed tests in parallel to dramatically reduce cycle time
• Detected anomalies early, flagging issues in real time
• Embedded structured reporting directly into the test management platform

Results

• 35% reduction in QA-to-production cycle time
• Fewer critical bugs, improving overall product stability
• Stronger internal adoption of the platform as reliability improved
• Clear positioning advantage, demonstrating AI-driven QA in real-world use

Impact Beyond the Numbers

This engagement became more than an internal optimization effort. By applying AI directly within its own QA workflows, the company strengthened customer trust and reinforced its market leadership. Reliability improvements translated directly into credibility: customers trusted a platform that consistently demonstrated the quality it promised.