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Here's a glimpse into what AI agents in knowledge work will look like. With the Box MCP server, you can tell Claude to create a folder structure in Box for an M&A deal and the data checklist. In the future you'll just have background agents automating anything.

Aaron Levie

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124,977 views • 10 months ago •via X (Twitter)

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Here's Operator from OpenAI building a Due Diligence portal for an M&A transaction of TikTok on Box. The Agent creates a folder structure, the initial set of docs, and then researches on the web for data. In the future, AI Agents just do work for you in the background.

Here's Operator from OpenAI building a Due Diligence portal for an M&A transaction of TikTok on Box. The Agent creates a folder structure, the initial set of docs, and then researches on the web for data. In the future, AI Agents just do work for you in the background.

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AI agents are getting upgraded capabilities at a rapid rate. Here's the Box MCP server connected to Claude to generate a near-perfect powerpoint presentation based on an existing document. This is a small peek into what the future of knowledge work will look like.

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Claude Cowork gives you a peek into the future of knowledge work. Here's a demo of using Box as a cloud filesystem via MCP for Claude to leverage content as context to generate new slides locally. The future is having agents running in the background doing work for you.

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This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.

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419,956 views • 2 months ago

With OpenAI’s AgentKit Agent Builder and the Box MCP server, you can build agents conversationally to automate complex workflows, while your data stays safe in Box. Ensuring your agents have the enterprise context they need to be effective and reliable.

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It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

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ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

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57,745 views • 1 year ago

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

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OpenAI just launched Atlas, a browser that has AI agents as a native capability. Now you can let browser agents take over your software and automate anything. Here's the agent using Box to automate folder creation for an M&A due diligence process (sped up).

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Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

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91,863 views • 10 months ago

Can AI agents analyze market data and internal research without a compliance nightmare? We built a secure equity research workflow using the Box MCP server + Anthropic's Claude to analyze NVIDIA. Claude pulls internal research from Box, layers in live market data, and generates a polished report via Box Doc Gen. For asset managers and hedge funds, this solves the trade-off between speed and security. No custom connectors, no data leaving Box, and your existing governance is inherited automatically. Watch the full demo 👇

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289,025 views • 19 days ago

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

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227,222 views • 5 months ago

Here’s the new ChatGPT agent combing through market and strategy data stored in Box to produce a powerpoint presentation. The ability for AI Agents to connect to data from anywhere, use a computer, and automate work in the background is going to be wild.

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69,901 views • 1 year ago

Right now the main paradigm that we think of agents in is chatting back and forth, but the biggest use of tokens will come from agents that are just always on running in the background doing work for us, or ones triggered from a workflow. Agents will be working 24/7 in our workflows processing data, reviewing and generating documents, moving data between systems, writing code, accelerating decision making steps, and more. In Claude's new Managed Agents feature, in a couple minutes you can wire up an agent that can read contracts when they come into Box to review them, and then assign a task in Linear with the critical information from the contract. But this could have been any workflow, like reviewing documents for client onboarding, invoice processing, M&A due-diligence, data extraction pipelines, and millions of other use-cases. And integrating data across any system. This is only possible when you can have long-running agents that can complete real work in the background, accurately. Agents have the ability to execute code safely, leverage tools, access a compute sandbox, and connect across systems is clearly the architecture of the future. The industry is now making it easier and easier for enterprises to build and deploy these agents.

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17,543 views • 3 months ago

As AI agents get better at computer and tool use, or writing code on the fly for a task, we're going to be able to solve much broader domains of knowledge work. Here's an example of Box AI with the new Claude Skills to generate a clean powerpoint file from existing data.

As AI agents get better at computer and tool use, or writing code on the fly for a task, we're going to be able to solve much broader domains of knowledge work. Here's an example of Box AI with the new Claude Skills to generate a clean powerpoint file from existing data.

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AI is getting very good at combing through data to generate anything you want. Here's how the startup economy has evolved according to Stripe's past 4 annual letters, using Box AI (with GPT-4.5). The future will be just having AI Agents work for you while you sleep.

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Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

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335,591 views • 4 months ago

Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

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985,748 views • 4 months ago

The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

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134,309 views • 1 month ago

In the next few days, the Abstract MCP server will allow AI agents to control AGWs to execute actions on behalf of users. In this demo, we have Claude Code executing a swap on Uniswap with a user's AGW. AI agents will soon be able to do everything on Abstract.

In the next few days, the Abstract MCP server will allow AI agents to control AGWs to execute actions on behalf of users. In this demo, we have Claude Code executing a swap on Uniswap with a user's AGW. AI agents will soon be able to do everything on Abstract.

cygaar

38,505 views • 4 months ago