A Framework for Choosing Winning AI Use Cases [Agent Readiness Part 3]

In the third part of the "Agent Readiness" series, Nathaniel Whittemore interviews Nufar Gaspar about use cases for AI agents, focusing on practical applications and strategic investment. Nufar introduces a framework for identifying, selecting, managing, and tracking use cases, emphasizing the importance of bottom-up idea sourcing and balancing efficiency with growth-oriented projects. She advises against automating fixed processes and highlights opportunities in complex decision-making, human bottleneck scenarios, and personalized experiences. The discussion covers common use cases like FAQ bots, knowledge retrieval, workflow automation, and market monitoring, advocating for a portfolio approach to managing agent implementations, balancing complexity and value, and continuously monitoring ROI to adapt strategies effectively.