How Box builds for Enterprise AI | Aaron Levie
Description
Welcome to the first episode of the Future Proof Podcast: Building AI Products That Last! In this episode, we chat with Aaron Levie, CEO and founder of Box, about what it takes to build successful Enterprise AI products.
We cover:
- Why good data is a moat / flywheel for AI products
- The importance of access controls in RAG
- Building broad or building deep
- APIs, MCPs, A2A
(00:00 ) Clips
(00:30 ) Intro
(01:40 ) Box's AI strategy
(04:45 ) RAG use cases with proven value
(09:05 ) Horizontal vs. deep product strategy
(11:14 ) Prompts as IP
(12:05 ) Importance of secure RAG in enterprise AI
(16:28 ) Ingest vs. agentic queries
(19:10 ) APIs, MCPs and Agent-to-Agent
(21:20 ) Moats and network effects for AI companies
(26:49 ) Risk of bad data
(29:48 ) A few large AI agents vs. many niche AI agents
Scale your AI product's integration roadmap with Paragon at https://useparagon.com/?utm_source=podcast/utm_campaign=ep1
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