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Say hello to agentic workflow automation. Box Automate is now generally available. It runs on multiple AI agents working in combination so your workflows can handle real content complexity: -Box Extract pulls structured data from contracts, invoices, and forms -Box Agent reads, interprets, and makes decisions in the workflow... show more

Box

80,221 subscribers

1,079,012 次观看 • 5 个月前 •via X (Twitter)

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5 条评论

OpenClawFan -tips 的头像

OpenClawFan -tips5 个月前

Multi-agent orchestration is exactly where complexity spikes. With OpenClaw, each agent role is a markdown skill file and the whole workflow runs on cron — no glue code needed. What's your handoff logic between Box Extract and Box Agent?

nid 的头像

nid5 个月前

NO SIRVE TU PÁGINA, no abre ningún link, ni siquiera me deja ver el espacio disponible en mi cuenta, ni cambiar mi contraseña, ni envía SMS al celular, LOS ODIO

Mike Penis, Ph.D. 的头像

Mike Penis, Ph.D.5 个月前

A chink and a street shitter spamming people on x. What a world.

Sebastian Buzdugan 的头像

Sebastian Buzdugan5 个月前

multi agent is cute but 90 percent of value is solid extraction accuracy

Box 的头像

Box5 个月前

Read the full announcement:

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Most organizations run on unstructured content, but it’s the data locked within that content moves business forward. Box Extract is now generally available, delivering agentic data extraction at scale for smart process automation. Combining the latest AI models with advanced OCR capabilities, and agentic approaches that understand document structure and meaning, Box Extract automatically and accurately extracts high quality data from a variety of content to automate workflows, speed content discovery, and drive smarter business decisions.

Most organizations run on unstructured content, but it’s the data locked within that content moves business forward. Box Extract is now generally available, delivering agentic data extraction at scale for smart process automation. Combining the latest AI models with advanced OCR capabilities, and agentic approaches that understand document structure and meaning, Box Extract automatically and accurately extracts high quality data from a variety of content to automate workflows, speed content discovery, and drive smarter business decisions.

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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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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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161,526 次观看 • 1 年前

Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:

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1,019,265 次观看 • 6 个月前

Box has launched our plugin within Codex. Users can take any content within Box and automate workflows around it using the power of a coding agent. Here's an example of processing earnings call documents to extract structured data at scale.👇

Box has launched our plugin within Codex. Users can take any content within Box and automate workflows around it using the power of a coding agent. Here's an example of processing earnings call documents to extract structured data at scale.👇

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2,055,009 次观看 • 6 个月前

The Box MCP server is now available in the Databricks Marketplace. Data analysts and data scientists can now pull unstructured content from Box directly into their Databricks workflows through Genie. Structured vendor metrics and contract terms in one place. No platform switching. No data duplication.

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291,841 次观看 • 2 个月前

With OpenAI's GPT-5 now available in Box AI Studio, transform mixed invoices – PDFs, smartphone photos, handwritten scans – into perfectly structured metadata to push straight into any workflow. Automate extraction, tagging, and downstream syncing of any unstructured document

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39,379 次观看 • 1 年前

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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Aaron Levie

91,863 次观看 • 1 年前

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 👇

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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321,533 次观看 • 2 个月前

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246,743 次观看 • 7 个月前

🆕 OpenAI Developers Agents API gives developers a hosted sandbox where agents run tools, coordinate work, and handle complex tasks. Box Mount brings enterprise content directly into that sandbox as files the agent can read, reason across, and produce new work from, using normal shell commands and file paths while Box Mount handles two-way sync automatically. In our demo, a lead agent mounts a deal room from Box, reads five source files, launches three specialist agents in parallel, and writes four reports back through Box Mount with an initial verdict. When a customer revises the MSA in Box, Box Mount syncs the new version into the same sandbox and the agents reassess automatically, refreshing all four reports while preserving the revised MSA as version two in Box. The result is a shared workspace where people and agents work on the same governed Box content without building custom file-transfer logic, with permissions, versions, and audit history preserved throughout. Box Mount is in private preview. Watch👇

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