Case Study: a major US agri-insurance company automates 93% of data aggregation with Beam AI

A Beam AI Case Study

Preview of the US Agri-Insurance Company Case Study

US Agribusiness Insurance Automated Data Extraction & Aggregation

The US Agri-Insurance Company, a major player in the US agri-insurance market, faced challenges with the highly manual and time-consuming task of extracting data from a high volume of inbound documents like PDFs and spreadsheets. This labor-intensive process prevented their underwriters from focusing on complex risk assessments. To overcome this, they partnered with vendor Beam AI to implement an AI-powered data extraction and aggregation solution.

Beam AI implemented AI agents that integrated into the company's existing underwriting infrastructure to automate the document processing workflow. The solution automated 93% of data aggregation, handling 15,000 data points monthly, and reduced the median processing time by 82%. This efficiency gain led to a 7% increase in customer satisfaction and allowed underwriters to dedicate more time to higher-value work.


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