Argonne achieved 85% case deflection and saved 20-30 hours per research task with Box Hubs

Argonne National Laboratory has revolutionized its research processes by implementing Box Hubs and Box AI, which significantly streamline access to and synthesis of complex research documentation. This transformation has cut down literature review tasks from 30 hours to just 30 minutes, thereby enhancing the productivity of the multidisciplinary science and engineering research center overseen by the U.S. Department of Energy. Researchers previously faced challenges in efficiently navigating through vast amounts of unstructured data, such as technical documentation and policy manuals, which slowed scientific progress. Box AI and Box Hubs have enabled a self-service, AI-powered research experience, allowing scientists to perform natural language queries across hundreds of files simultaneously, uncovering insights that conventional search methods would miss. This innovation has not only simplified the task of document triage but also freed researchers to focus on discovery rather than administrative tasks. The introduction of Box Hubs has also streamlined support queries, such as those related to employee travel, reducing repetitive work for administrators and ensuring fast access to necessary information while maintaining strict security controls. Adoption of the system has been straightforward, requiring minimal training, and it has led to measurable reductions in support load and increased case deflection, ultimately accelerating Argonne's research mission and providing a clear path to sustained ROI.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.