Generative AI is changing who can build inside an organization. Tasks that once required engineering resources can now be automated or orchestrated across the enterprise, reshaping how companies modernize and compete. Yet most organizations remain stuck in experimentation mode, unable to translate promising pilots into measurable operational impact.
In this fireside chat, Kevin McCurdy (Global Consumer Goods Partner Leader, AWS) and Abhishek Gupta (Chief Product Officer, Retool) will unpack a practical AI maturity progression that takes you from early experimentation to agent-driven, production-grade workflows. Drawing on hundreds of production AI deployments, they'll share what works when operationalizing AI without sacrificing governance or security.
We’ll cover:
- The phases of AI maturity: what it takes to move from experimentation to enterprise-scale outcomes.
- How to tie AI to business outcomes: Strategies for measuring real impact across capacity, cost, and throughput
- Scaling AI responsibly on AWS: embedding intelligence into core workflows in a way that's governed, measured, and built to last.
Walk away with actionable insights to help your teams build faster, standardize what works, and scale AI-powered internal tools with confidence in 2026.
