The 90% problem: How Box cracked the code on enterprise’s biggest data blindspot

Box Extract is an advanced AI-powered system designed to unlock the vast amounts of organizational data trapped in documents by providing reliable, scalable, and highly accurate content extraction. Companies struggle with processing their document-based data due to inflexible and expensive traditional methods, and Box Extract addresses this by using multiple specialized AI agents to extract and analyze content, offering confidence scores for each field to ensure trustworthiness. This approach allows enterprises to automate processes or create new ones by understanding documents at a deeper level, transforming how industries like finance, insurance, and wealth management handle vast amounts of paperwork, thus enabling quicker and more efficient operations. The system emphasizes customizing extraction agents without coding, managing extraction processes centrally, and delivering human-level performance by knowing when to seek human intervention. Moreover, Box Extract aims to process a wide range of documents on a global scale while maintaining high accuracy, ensuring that the extracted data is actionable and trustworthy for decision-making and automation.

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