Episode
How Enterprise AI Really Gets Deployed
- Podcast
- The a16z Show
- Published
- Jul 31, 2026
- Duration seconds
- 4836
- Processing state
processed
Actions
POST https://stenobird.com/v1/public/podcasts/the-a16z-show-436525/episodes/how-enterprise-ai-really-gets-deployed/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/the-a16z-show-436525/how-enterprise-ai-really-gets-deployed.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Sarah Wang and Kimberly Tan are joined by Jesse Zhang and Ashwin Sreenivas, co-founders of Decagon, to discuss the evolution of enterprise AI agents, why the company increasingly relies on open-source models, and how it is helping some of the world’s largest companies deploy AI in production. Decagon has become one of the fastest-growing AI companies by building agents that automate customer support, sales, and operational workflows. Jesse, Decagon’s CEO, and Ashwin, its president, explain how the company is building enterprise AI at scale. They unpack why Decagon moved most of its inference to open-source models, how latency, evaluation, and fine-tuning shape production AI systems, and why enterprise AI requires far more than simply plugging into frontier models. The conversation also explores forward-deployed engineering, enterprise sales, AI’s impact on jobs, and why application companies will continue to thrive alongside the foundation model labs.