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