Tech leaders discuss the challenges and opportunities of deploying AI agents at scale, emphasizing the critical need for evaluation infrastructure before building agentic systems. Key insights include successful use cases like Rocket Companies saving over a million team hours and achieving 3x higher conversion rates, the complexity of orchestrating multiple agents and managing non-deterministic behavior, and the importance of establishing rigorous testing environments to ensure reliable agent performance as systems evolve.
Table of contents
A few top agentic AI use casesTackling agent complexityTapping into vendor relationshipsPreparing for agentic AI complexitySort: