Box AI is the enterprise AI layer of Box that answers questions, extracts data and drafts content directly from files stored in Box. Users can query one document or many at once, getting summaries and precise answers from leases, statements of work and financial reports. Extract Agents pull key details from contracts, forms and images and turn them into structured metadata, and the Box Agent works through multi-step tasks from a single conversational interface. Everything runs within Box permissions and compliance policies, and data is not used to train external models.
Large organizations with heavy document workloads are the audience: legal and procurement teams reviewing contracts, finance groups digging through reports, sales and marketing staff drafting copy, and operations leaders who want trends across thousands of files. Developers can build on the AI APIs and customize agents with Box AI Studio, choosing their preferred model, while administrators decide which model providers are allowed under company security standards. Teams that want to avoid vendor lock-in can switch between supported models.
A contracts analyst can compare terms across a folder of agreements and surface risks through Box AI Hubs. An operations team can extract fields from invoices and forms into metadata inside Box Automate workflows instead of copying values by hand. A marketing manager can draft copy or assemble a board meeting briefing from existing material, and a proposal team can respond to an RFP using context from past submissions. Developers can connect Box content to tools such as Langchain and LlamaIndex, or reach it through the Box MCP Server, to build their own agents.
