
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.
Podzilla Summary coming soon
Sign up to get notified when the full AI-powered summary is ready.
Free forever for up to 3 podcasts. No credit card required.

The AI Illusion: Why Testing Still Needs Humans with Joe Colantonio

AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity with Vilhelm von Ehrenheim

Maestro MCP, AI Mobile Testing That Fixes Its Own Tests with Leland Takamine

AI Testing Costs, How to Prevent Runaway Token Bills with Arthur Hicken
Free AI-powered recaps of TestGuild Automation Podcast and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.