Box AI uses deep agents to turn enterprise content into workflows

A new LangChain case study explains how Box AI built enterprise content agents with Deep Agents.

The interesting shift is from searching or summarizing files to coordinating work across content repositories. Enterprise agents need context, permissions, tool use, and reliable execution around documents that already drive business processes.

That makes content platforms a natural proving ground for agents: the data is valuable, the workflows are repetitive, and mistakes need to be constrained by governance.