Leading Quality in the Agentic AI Era
About this session
Today's QA organizations are moving beyond AI-assisted testing into a new era of autonomous quality engineering. This session explores how interconnected AI agents can transform the entire quality lifecycle—from analyzing product requirements and generating test strategies to assessing release readiness and identifying production risks. Drawing on real-world enterprise experience, attendees will learn how to build an AI-powered QA ecosystem that improves engineering productivity, accelerates delivery, and enables QA teams to shift from test execution to strategic quality leadership. The talk also covers governance, human oversight, and the evolving role of QA leaders in an AI-first software organization.
Speaker
Key takeaways
- Understand how Agentic AI is transforming the role of Quality Engineering.
- Learn how autonomous AI agents can accelerate the entire software quality lifecycle.
- Discover practical use cases for AI in requirements analysis, test design, automation, defect triage, and release readiness.