"So the thing that we think about all day long - and what our focus is at Box - is how much work is changing due to AI. And the vast majority of the impact right now is on workflows involving unstructured data. We've already been able to automate anything that deals with structured data that goes into a database."
"If you think about CRM systems, ERP systems, HR systems, we've already had years of automation in that space. But where we've never had automation is anything that touches unstructured data. Think about any kind of legal review process, any kind of marketing asset management process, any kind of M&A deal review - all of those workflows deal with lots of unstructured data. People have to review that data,"
Box is embedding agentic AI models across its content-management platform to accelerate automation of unstructured-data workflows. The company previously launched an AI studio, data-extraction agents, and agents for search and deep research, and is now introducing Box Automate as an operating system to segment workflows and apply AI where needed. The strategy prioritizes workflows that involve legal review, marketing asset management, and M&A deal review, which rely on unstructured files. The company expresses optimism about AI agents' workplace potential while acknowledging limitations of current foundation models and plans to mitigate risks using existing technology and platform integrations.
Read at TechCrunch
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