How Box builds for Enterprise AI | Aaron Levie

from Future Proof: Building AI Products that Last · host Paragon

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 productsThe importance of access controls in RAGBuilding broad or building deepAPIs, 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 agentsScale your AI product's integration roadmap with Paragon at https://useparagon.com/?utm_source=podcast/utm_campaign=ep1

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This episode was published on May 27, 2025.

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