
This episode consists of the following chapters: 00:00 - Introduction to Jesse Zhang and Decagon02:33 - Why customer support emerged as a clear use case for AI05:00 - The importance of discovery and understanding customer value08:20 - The Decagon product architecture: core AI agent, routing, and human assistance11:01 - How enterprise logic is integrated into the AI agent15:45 - Shared frameworks across different customers and industries17:12 - How AI agents are changing organizational planning19:59 - Automatically identifying knowledge gaps to improve resolution rates22:57 - Handling routing across different modalities (text and voice)26:09 - The continued importance of humans in customer support30:17 - The evolving role of human agents: supervising, QA, and logic building36:57 - Value-based pricing tied to the work AI performs39:17 - How sophisticated buyers evaluate AI customer support solutionsSubscribe to the Barrchives newsletter: www.barrchives.comSpotify: https://open.spotify.com/show/37O8Pb0LgqpqTXo2GZiPXfApple: https://podcasts.apple.com/us/podcast/barrchives/id1774292613Twitter: https://x.com/barrnanasLinkedIn: https://www.linkedin.com/in/barryaron/