Box co-founder and CEO Aaron Levie delivers a virtual keynote at Box’s Content + AI Summit.
Box
Last week at its virtual Content + AI Summit, Box announced significant AI enhancements to its platform, with the aim of significantly reshaping not only its own capabilities, but perhaps enterprise content management more broadly. By embedding advanced AI into its Content Cloud, Box wants to create an intelligent system to automate content processes, uncover insights from unstructured data, improve decision making and even uncover untapped business opportunities.
It’s an ambitious undertaking, but to its credit Box has a track record of capitalizing on major technology shifts to drive the company’s growth and relevance. Years ago, Box successfully leveraged the rise of cloud computing and mobile adoption to transform itself from a consumer storage service into a leading enterprise content management platform. This enabled the company’s subsequent rapid expansion in the corporate space and its deep integration into enterprise workflows.
Now Box is applying the same strategy to artificial intelligence. Its latest moves in AI show how Box is continuing its pattern of strategic adaptation to unlock new value from unstructured enterprise content, and this could set the stage for a new era of intelligent content management, within the company and even beyond it.
(Note: Box is an advisory client of my firm, Moor Insights & Strategy.)
Box Adds AI Tools For Smarter Content Management
At its summit event, Box introduced advanced AI agents to automate tasks, analyze information and extract intelligence from enterprise content. Three specialized agents are designed to address distinct content challenges and unlock new insights and operational efficiencies:
- Deep Research Agent: The research agent synthesizes information from multiple documents to answer complex queries. This could be valuable, for example, as product managers perform competitive analysis or when corporate development teams carry out due diligence.
- Search Agent: This agent employs natural language processing for context-aware information retrieval, which could, for instance, help legal teams find specific clauses in contracts, or make it easy for customer support staff to locate relevant product documentation.
- Deep-Extract Agent: This agent is designed to identify and extract specific data and insights from unstructured content, for example to enable a procurement specialist to pull contract terms or an HR team to analyze employee survey data.
These tools are meant to extend powerful but user-friendly AI capabilities to business users across departments, including legal, HR and marketing, with the goal of integrating AI into daily workflows.
Crucially, Box’s strategy focuses on enabling users to do more with large files. The new product initiative extends beyond enhancing traditional search or automation, allowing users to, for example, query thousands of documents or images for instant answers, or to generate new drafts and reports from existing data.
The new tools also empower users — including non-developers — to construct no-code, intelligent applications to manage sophisticated workflows and unearth insights from unstructured data, rather than merely streamlining repetitive tasks. Box has also introduced the ability to create custom AI agents within Box that can scrutinize, condense and respond to queries about content, regardless of its structure.
Using AI To Create New Ways Of Working
Box is designing products that support its thesis that AI’s primary value comes from enabling entirely new ways of working, creating and discovering, not just making old ways more efficient. As Aaron Levie, co-founder and CEO of Box, puts it, “The real opportunity with AI isn’t just about automating what we already do — it’s about unlocking entirely new capabilities across work. The sooner we adopt an AI-first mindset, the faster we’ll see people solving problems and creating value in ways we haven’t even imagined yet.”
I find this approach refreshing. Traditional productivity metrics often fail to capture the full scope of value created, particularly in knowledge work, and can leave employees feeling that gains accrue mainly to the employer. By leveraging AI to enable novel workflows and creative possibilities, Box can potentially help drive organizational innovation and empower employees to engage in higher-value, more fulfilling work.
Digging Into The Details Of The New Box AI Agents
The new agents are meant to provide targeted AI-driven answers to everyday enterprise needs. These AI agents are natively integrated into the Box user interface and apps, including Box Hubs and Notes, to enable metadata extraction and workflow automation. For customization, Box offers an Extract API supporting models from OpenAI, Google and Anthropic, allowing organizations to tailor AI for specific document types while maintaining data control. The company also has Box AI Studio and developer frameworks for building entirely custom AI agents. Real-world applications include automated contract management, event data extraction, and renewal tracking. By automating these tasks, Box aims to turn manual processes into insight-driven workflows for its customers.
In addition to the three ready-to-go agents, Box has added a Model Context Protocol server to its lineup. The MCP server provides a means for external AI agents to work harmoniously with Box content and services. This can help organizations leverage AI across different content ecosystems, including platforms such as Slack and Google Drive. Check out this short post from my colleague Jason Andersen to learn more about Box’s new capabilities for AI developers.
Building An AI-First Culture
As touched on in Levie’s quote above, a key aspect of Box’s strategy is fostering an AI-first culture, driven by early adoption and experimentation. Levie, who is vocal on social media about the urgency and transformative potential of AI, encourages organizations to actively explore and implement AI technologies. “We have the opportunity to drive an incredible amount of new experiences and ways that we work in the process,” he said during the Content + AI Summit.
To help customers embrace this active exploration and maximize the value of their Box investments, the company has created the Intelligent Content Expert Certification program, launching this June. The self-paced curriculum, which covers deployment, collaboration and content management, is designed to help all levels of Box administrators enhance their technical skills and optimize Box deployments within their organizations. Building on the recent introduction of the MCP and expanded AI agent resources, this certification program aims to help Box users stay current with rapidly changing AI advancements.
I’ve witnessed Box’s push for continuous AI learning firsthand. In addition to the virtual summit, I recently attended the Box regional Content + AI event in Dallas, which provided a clear window into how Box prioritizes community engagement and education as it introduces new AI capabilities. The event brought together customers, partners and Box product leaders for hands-on workshops, live demonstrations and open discussions. The interactive setting encouraged attendees to ask questions, experiment with AI features and share real-world experiences with peers and experts.
These events naturally create a feedback loop that benefits both Box and its community. Insights and questions from participants help shape future product development and ensure that Box’s offerings align with real customer needs. Ultimately, this approach should support broader business objectives as AI becomes increasingly central to the content management landscape. Additionally, by opening these events to prospects as well as existing customers, Box creates an effective way to involve potential new users in its go-to-market motion, allowing them to experience the value of the platform firsthand.
Riding The AI Trade Winds
There may be some people who still view Box primarily as a document management company, but in my view its rapid AI innovation signals a noteworthy evolution in its platform. By embedding intelligence throughout the content lifecycle and fostering a supportive user community, Box wants to enable organizations to unlock much greater value from their enterprise data.
Levie’s thought leadership and public commentary also signal that Box isn’t just following the AI trend. Rather, it is actively working to define what intelligent content management should look like for the modern enterprise. Given its history of successfully riding new technology waves and its AI-first ethos, I believe that Box is a company to watch as AI continues to reshape the enterprise landscape.
Moor Insights & Strategy provides or has provided paid services to technology companies, like all tech industry research and analyst firms. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking and video and speaking sponsorships. Of the companies mentioned in this article, Moor Insights & Strategy currently has (or has had) a paid business relationship with Box, Google and Salesforce (Slack).
