Beyond Copilot: The Future of AI Workflows for QA
Meet the Speakers
Sandra John
Senior Performance Lead
ZS Associates
Leads quality engineering with 12+ yrs of experience building test frameworks, scaling automation and advancing AI-driven testing
Malavika Nair
Product - AI Initiatives
BrowserStack
Architects AI agent evaluation platforms at BrowserStack, merging technical depth with product vision to scale AI reliability
Beyond Prompts and Copilots: The Rise of AI-Native QA Workflows
Copilots are only the beginning of AI-powered QA
AI is evolving beyond code suggestions. Modern QA teams are using AI workflows to uncover hidden requirements, generate smarter tests, improve coverage, and accelerate releases while reducing repetitive manual effort.
Turn AI experiments into scalable testing workflows
Discover practical AI workflows that connect requirement analysis, test creation, execution, debugging, and feedback. Learn how teams are improving efficiency, increasing visibility, and scaling quality without adding complexity.
What you’ll learn
- Generate test scenarios 4.2x faster with AI workflows
- Reduce the 41% of QA effort spent on requirement analysis
- Catch hidden risks and edge cases before test execution
KEY TOPICS OF THE WEBINAR:
- How AI uncovers the 68% of bugs caused by missed edge cases
- Using AI to generate smarter tests with coverage mapping
- Closing feedback loops faster with AI-powered QA workflows
What Our Customers Have to Say
With AI-powered Visual Testing embedded in our quality pipeline, we’ve moved beyond code validation—into protecting the brand experience at scale, with precision and speed.
Zohar Liran
Director, Head of Engineering, Construction Platform, Autodesk
A test could come out true, but the screen does not look anything like you want it to look. That’s where visual testing with Percy comes in.
Ayushi Arora
SDET Lead, Nykaa
We have successfully brought down the regression time from 4 days to 1.5 days, resulting in short turnaround time on the life cycle of apps.
Vijay Selvam
Manager, Test Engineering, Swiggy
We will continue encouraging more teams to integrate automated tests with BrowserStack to increase their test coverage, reduce their feedback loops and deliver high-quality products faster.
Georgiana-Lucia Baragan
Senior Engineering Manager, Booking.com
The most major impact I have noticed is that we are able to deliver fast. We are also able to maintain the robustness and stability of our tests; the tests are more reliable now. And if anything fails, we have the video recording to go back and analyse where, when and why the test failed – is it a genuine issue or flakiness associated with our test case.
Harit Narke
Lead Software Engineer, Mastercard
Don’t miss out !
If you're managing, leading QA teams and looking to get inspired, learn, or connect, you'll want to be a part of our Webinar