Six Months In: Building a Globally Scalable, AI-First Testing Center of Excellence
About this session
Most AI-in-engineering talks tell you how it went years after the fact, once the war stories have been sanded smooth. This one won’t be: by the time Sunita McCoy takes the stage, she’ll have six months of real, in-progress lessons from building a globally scalable, AI-first Testing Center of Excellence at Pizza Hut — from the ground up. Drawing on 20+ years transforming legacy QA functions at Fortune 100 companies (Foot Locker, Advance Auto Parts, MetLife), where she’s cut mean-time-to-detect by up to 75% and scaled AI-driven testing that reduced manual test design by 30%, she’ll walk through why AI literacy and governance are the real foundation of a TCoE that can trust AI at scale. Expect a candid, six-months-in progress report: what’s working, what she’s rebuilding, and a practical framework leaders can adapt for standing up their own AI-first quality function without skipping the governance step that usually gets bolted on too late.
Speaker
Key takeaways
- Why AI literacy across the org — not just tooling adoption — is the real prerequisite for scaling AI safely
- Lessons from scaling AI-driven testing and observability at Fortune 100 scale (100–350 engineers, sub-1% production defects) — and what translates to building a global TCoE from scratch
- A six-month field report: what’s already working, what’s harder than expected, and what leaders should plan for in their first two quarters