AI is reshaping software testing, but we’re still in the early days of realizing its full potential. Most current “AI in testing” solutions focus on faster execution or smarter suggestions, but there’s a new shift underway - Agentic AI.

In this talk, we’ll unpack what AI agents truly are—systems designed to perceive their environment, make decisions, and take action autonomously. We’ll break down what “agentic” means in a Quality Engineering context and why this shift from static automation to goal-driven, adaptive testing agents is a game-changer.

Imagine a testing system that doesn’t just execute scripts but understands your application, identifies risks on its own, heals broken tests, and even recommends new ones—working alongside your team like a proactive virtual assistant. That’s the future we’re moving toward.

We’ll explore key concepts like agentic workflows, multi-agent collaboration, and context-aware testing. You’ll also get a glimpse of practical tools and real-world examples that hint at where this space is headed next. Whether you’re new to AI or already experimenting, this session will inspire you to rethink what’s possible in Quality Engineering and help you prepare for the next evolution in test automation.