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This episode consists of the following chapters: 00:00 - Introduction to Jesse Zhang and Decagon 02:33 - Why customer support emerged as a clear use case for AI 05:00 - The importance of discovery and understanding customer value 08:20 - The Decagon product architecture: core AI agent, routing, and human assistance 11:01 - How enterprise logic is integrated into the AI agent 15:45 - Shared frameworks across different customers and industries 17:12 - How AI agents are changing organizational planning 19:59 - Automatically identifying knowledge gaps to improve resolution rates 22:57 - Handling routing across different modalities (text and voice) 26:09 - The continued importance of humans in customer support 30:17 - The evolving role of human agents: supervising, QA, and logic building 36:57 - Value-based pricing tied to the work AI performs 39:17 - How sophisticated buyers evaluate AI customer support solutions Subscribe to the Barrchives newsletter: www.barrchives.com Spotify: https://open.spotify.com/show/37O8Pb0... Apple: https://podcasts.apple.com/us/podcast... Twitter: https://x.com/barrnanas LinkedIn: / barryaron