Building AI Systems That Work | Elizabeth Lingg & Garima Agarwal | Enterprise Decoded

There is a massive graveyard of enterprise artificial intelligence pilots that looked great in a demo but never made it to actual users. Why is the transition from the research lab to enterprise production so difficult?In Episode 4 of Enterprise Decoded, host Anji Maram sits down with Elizabeth Lingg, Director of Applied Research at Thomson Reuters Labs, and Garima Agarwal, Chief Technology Officer at Meeru AI. Together, they break down the brutal realities of deploying generative models in high stakes business environments.Listeners will discover why building for the enterprise means building for edge cases rather than average cases. The guests share their deep experience in the field, explaining how engineering discipline determines the floor of your success, while research only determines the ceiling.You will also learn about the Three Gs framework for enterprise readiness. We discuss how to ensure your data is Grounded, how to keep your outputs Governed and auditable, and how to use a Graduated approach to build deep trust with your most skeptical end users.Whether you are a Chief Information Officer, a software engineer, or a business leader trying to navigate the hype, this conversation provides a roadmap for building durable and verifiable systems that drive real business growth.Listen now to learn how to stop building fragile pilots and start building resilient enterprise platforms.