From Requirement to Regression: How AI Changes What Testing Actually Does
Developers don't write most of their code from scratch anymore, they generate it. That's already changed the pace of software delivery, and it's now landing directly on QA: more changes, more code, more required coverage, without bigger teams.
This session looks at what that means for testing in practice. We'll walk through a workflow where AI does real work: turning a requirement into a starting point instead of a blank page, deciding what's worth automating, and scoping regression to what actually changed.
Ian Verhaegen
Ian Verhaegen is a Principal Solution Architect at Panaya, helping enterprises accelerate SAP and Oracle transformations with AI-powered testing and smart impact analysis. With over 20 years of experience in application delivery, Ian focuses on reducing risk and enabling faster, safer innovation.
Yuval Gal
Yuval Gal is a Product Marketing Manager at Panaya, where she works on how enterprise QA and IT teams handle constant change across their business-critical systems. With a strong background in B2B SaaS, Yuval focuses on the practical side of AI in testing: what to test, what to skip, and what is worth automating. Her work centers on turning platform capability into workflows teams can actually run.