Webinar

Accelerate Releases and Elevate Quality with AI-Powered QA

  • CalendarSep 18, 2025
  • Clock11:00 AM IST
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Panelists
 
Manoj Jain
Senior Director (R&D), Axtria
With over 24 years of experience in engineering leadership, Manoj has successfully led development, quality assurance, sustaining engineering, and PMO teams across diverse domains including no-code platforms, security, e-commerce, enterprise applications, and banking. He has been at the forefront of leveraging GenAI and large language models to accelerate development lifecycles, enhance QE processes, and drive intelligent automation, resulting in measurable gains in delivery predictability and team productivity. A strong advocate of QA excellence and agile transformation, he has coached leaders, mentored QA professionals into SDET roles, and built high-performing, inclusive teams. Passionate about continuous learning and process innovation, [Name] has contributed to industry knowledge at numerous events and has a proven track record of scaling engineering organizations of 120+ members.
Sri Sai Ram Tangirala
Product Growth Manager, BrowserStack
Sai Ram focuses on Product Growth through Marketing initiatives at BrowserStack for central projects. He has been a product manager for multiple products at BrowserStack before his current stint and comes with experience across engineering, product, and marketing functions.

About the event

In today’s rapid DevOps cycles, QA teams are under immense pressure to accelerate testing without sacrificing quality. However, traditional testing workflows are often a bottleneck, bogged down by manual test case creation, flaky scripts, and slow, fragmented debugging processes. Teams struggle to keep pace with development, leading to delayed feedback, bugs leaking into production, and mounting technical debt that undermines pipeline reliability.

Join BrowserStack’s Product Growth Managers, Sai Ram Tangirala and Sai Unmesh, as they share practical lessons on integrating AI into daily testing workflows. Discover how the BrowserStack Test Platform leverages over 30 AI agents to transform the testing lifecycle. From generating test cases from user stories with AI to analyzing failures up to 95% faster, our platform provides a unified solution to eliminate manual bottlenecks. Learn how to harness AI-powered debugging , intelligent test creation, and self-healing scripts to build more reliable automation pipelines and accelerate release velocity.

What you’ll learn

  • Practical strategies for integrating AI into your existing QA workflows.
  • How to use AI to automatically generate test cases from product requirements.
  • AI-powered debugging techniques to identify and resolve test failures faster.
  • Methods to improve test automation stability and reduce flakiness with AI.

Join the ranks of over 50,000 global customers, including more than half of the Fortune 500, who trust BrowserStack to deliver quality software at speed. See firsthand why engineering teams worldwide rely on our industry-leading platform, recognized across G2 for helping them achieve their testing goals with unparalleled efficiency and scale