AI is changing how we build and test software, but most teams are struggling to turn that promise into real results.

In this episode, we break down what it actually takes to scale quality engineering across global teams without creating bottlenecks, burnout, or broken processes.

You'll learn:

why most test automation and transformation initiatives fail
how to separate AI hype from reality
what high-performing teams are doing differently to ship faster with confidence

Today's expert, Sunita McCoy, a Global Engineering Leader and Transformation Specialist, shares practical insights from leading large-scale engineering transformations, including:

how to build a culture that supports AI adoption
why "quality as a phase" is dead
how to shift toward treating quality as a product

If you're a QA leader, automation engineer, or DevOps professional trying to improve reliability, reduce risk, and future-proof your skills in the age of AI, this episode gives you a clear path forward.

Scaling Quality Engineering: How to Deliver Faster Across Global Teams with Sunita McCoy