Clari, the leading AI-powered revenue orchestration platform, successfully transformed its QA process from a critical bottleneck—characterised by 4-hour regression runs and only 60% stability—into a reliable, data-driven deployment gate. See how Shiva Srinivasan, Principal Test Engineer at Clari, explain how they achieved a massive 90% reduction in testing time and reached 95% test stability using BrowserStack AI-Powered Test Reporting and Analytics. This platform provided the unified dashboard needed to consolidate results from both API and end-to-end tests, enabling AI-powered pattern recognition that instantly identifies root causes, resulting in 50%+ faster troubleshooting and the confidence to block releases unless all current builds pass.