AI has already sped up test execution and improved reliability, but that's just the starting point. The next evolution is Agentic AI, autonomous agents that don't just follow instructions but reason, adapt, and collaborate to shape your testing strategy.

In this session, we'll dive into the mechanics of agentic AI in quality engineering:
• How agents use workflows, memory, and adaptive learning to improve continuously.
• Ways agents can automatically heal tests, generate scenarios from requirements, and prioritise risk-based coverage.
• What multi-agent collaboration looks like in practice, from user story analysis to BDD scenario generation.

We'll share real-world experiments, toolchains, and practical patterns that make agentic AI usable today, not just theoretical. Whether you're already working with AI in testing or just exploring the possibilities, you'll leave with a clear sense of how to take your automation from execution to strategy.