SaaStr 832: How to Use AI to Hyper-Customize Go-To-Market at Scale with SaaStr's CEO and Chief AI Officer

Jason Lemkin and Amelia Lerutte discuss how to effectively implement AI agents in sales and go-to-market strategies. They emphasize that AI agents should augment human efforts by handling tasks that humans are unwilling or unable to do, such as following up on low-priority leads. They share data on the performance of their AI agents, highlighting increased response rates and revenue generation. They also stress the importance of training AI agents with proven strategies and providing them with clear goals, as well as the need for human oversight and a single source of truth to manage agent activities. They advise starting with non-mission-critical tasks and gradually expanding the scope as the AI's performance improves, and they recommend that companies empower their AI agents to sell, especially for lower-priced products. They also highlight the importance of having a GTM engineer in-house and support from the vendor to ensure successful AI deployment.