AI should accelerate testing, not complicate it. Yet many organizations are stuck navigating bold claims, unclear capabilities, and growing skepticism around what AI can actually deliver.

This session unpacks why AI fatigue is rising in testing and how teams can move past the noise by focusing on outcomes, not buzzwords.

You’ll learn how to define what “good” AI looks like in testing, including the role of deterministic automation, governed AI workflows, and the ability to integrate with your existing tools and frameworks.

We’ll also show how teams can apply AI in a practical, controlled way to improve test coverage, reduce maintenance, and speed up delivery, without sacrificing reliability.

If you’re looking to adopt AI in testing on your terms, this session will give you the blueprint.