As enterprise SaaS platforms scale, traditional QA models struggle to keep pace with the speed, complexity, and reliability demands of modern Salesforce environments. For this global data streaming leader, manual-heavy testing and limited automation access were creating bottlenecks across the quote-to-cash lifecycle, impacting release velocity and confidence.
Brillio reimagined the QA lifecycle through an AI-augmented, automation-first approach that extended beyond engineering teams. By embedding intelligence into test creation, enabling natural-language-driven execution, and introducing self-service capabilities for UAT and business users, the organization transformed testing into a scalable, accessible, and continuously optimized function. The result? Faster releases, reduced manual effort, and a clear path forward toward enterprise-grade automation at scale.
Read the full case study to see how AI-led, self-service QA is transforming Salesforce testing at scale and delivers up to 85% reduction in manual test authoring effort and 25% reduction in overall QA effort.
