BoxWorks 2025: AI Agents and the Enterprise Content Challenge
BoxWorks 2025: AI Agents and the Enterprise Content Challenge
At this year’s 2025 BoxWorks, CEO Aaron Levie doubled down on the role of generative AI in unlocking enterprise value. The spotlight was on content AI for unstructured data, an area Box says represents nearly 90% of untapped enterprise information. The company positioned its latest releases as tools not just for managing content, but for activating it through AI-driven agents and workflows.
Building Enterprise Agents on Content AI
Box’s new capabilities revolve around transforming unstructured data into usable insights. Document and contract extraction tools powered by generative AI aim to reduce the friction in surfacing critical information. Alongside this, the company introduced workflow and agent builders tailored for specific enterprise applications, with integration as a recurring theme. These moves underscore Box’s belief that AI agents can only succeed if they fit directly into established enterprise systems rather than stand apart.
At the same time, Box is layering in security innovations that use AI to identify risks before they materialize, combining threat detection with intelligent governance. This reflects an important reality: while AI can automate, it must also safeguard, particularly when handling sensitive enterprise content.
The Challenge of Workflow Adaptation
Despite the optimism, Box acknowledged a major barrier: adapting AI agents to the diverse workflows enterprises rely on. No two organizations manage information in the same way, and deploying generic AI agents often leads to limited adoption. The company’s emphasis on purpose-built tools suggests an attempt to lower this barrier by giving enterprises more control in shaping agents to their own contexts.
This balancing act between automation and adaptability will define the next phase of content AI adoption. By leaning on integration and workflow-specific tooling, Box is betting that enterprises will embrace AI agents when the technology bends to their processes, not the other way around.
Bottom line
BoxWorks 2025 showed a company positioning itself as a bridge between the promise of AI agents and the practical challenges of enterprise adoption. By focusing on unstructured data, integration, and security, Box is betting on a future where AI-driven agents become a core layer of enterprise productivity—but only if they can be molded to fit the complexity of real-world workflows.
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