Dev.to
6/23/2026

Box AI uses deep agents
Original: Building Box AI: How an Enterprise Content Platform Went AI-Native with Deep Agents
Short summary
Box evolved from file storage to an AI-native platform using deep agents—autonomous systems that reason across unstructured content, invoke tools, and enforce access controls. Unlike shallow chatbots, deep agents handle multi-step workflows like legal due diligence by breaking tasks into sub-steps and iterating toward outcomes. This requires rearchitecting data ingestion, RAG pipelines, and permission systems to make AI the primary interface.
- •Deep agents differ from chatbots: they perform multi-step reasoning, use external tools, and iterate toward goals
- •Enterprise AI-native architecture requires permission-aware retrieval, multimodal ingestion pipelines, and integration with existing tools
- •Platform value shifts from 'store files' to 'unlock knowledge' through AI reasoning
Generated with AI, which can make mistakes.
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