Heading into 2026 and beyond, test management is evolving into the foundation of quality success in an increasingly complex, AI-driven landscape. The rapid rise of agentic AI software engineering means testing teams will soon face an influx of code generated from autonomous agents. That means testing leaders should prepare for a rapid, organic adoption of diverse AI tools to help them carry out this increased testing workload – and for the information silos, fragmented processes, and quality gaps that can result without a centralized approach to quality. To support these massive changes to both what we’re testing and how we’re testing it, a solid foundation of governance, traceability, and visibility into all testing activity will be critical for maintaining quality, while ensuring human intent stays at the center of autonomous engineering.

In this webinar, you will learn why the right test management strategy will be foundational for agentic AI success. You will hear:

• How agentic test management can help you scale AI adoption with appropriate guardrails in place
• Why it’s critical to establish governance across AI testing agents to reduce the risk of operational silos and quality gaps
• Considerations for managing the complexity that comes with expanded AI adoption

Watch this webinar to learn more!

Speakers:

• Luke Mahon, Product Marketing Director
• Annan Patel, VP of Product Management