As software complexity increases and release cycles shrink, traditional testing and test automation are hitting its scalability and adaptability limits. In this talk, we explore how AI-powered agents are empowering and evolving Quality Assurance—from automating test plan and test case generation, self-checking requirements and acceptance criteria, and self-healing scripts to intelligent test prioritization.

Drawing from real-world experience and hands-on experimentation, I’ll showcase how teams can begin integrating AI agents & tools into their QA workflows today—without overhauling existing infrastructure or replacing the essential role of QA professionals.

Expect live demonstrations, practical strategies, and an honest look at how QA can evolve from task execution to strategic quality leadership with the help of AI.

• Understand the difference between test automation and autonomous testing using AI agents.
• Introduction of how LLMs (like ChatGPT or Gemini) can assist in generating test plan and test cases.
• Explore AI-driven approaches in test failure analysis, requirement and AC validation, and test prioritization.
• Gain insight into the risks, limitations, and best practices when applying AI in testing environments.