The life insurance industry relies heavily on accurate medical underwriting, which is performed by specialized underwriting firms that analyze patients' medical records in detail. However, as healthcare digitization has surged and volumes of complex medical documents have grown exponentially, these firms are struggling to keep up with the increasing pressure. The firm's two-part workflow was breaking down, causing a growing backlog and rising costs, as medical experts were spending more time sorting through documents instead of analyzing medical histories. To address this bottleneck, they implemented an intelligent document processing solution that uses AI-powered natural language processing to classify medical records, extract data, and provide a filtered view of significant pages. This new automated workflow has significantly reduced the operational bottlenecks involved in the process, allowing doctors to focus on their core expertise and handle more cases without increasing costs. The firm is now exploring how to automate other document-heavy workflows, such as trust deed processing, and is scaling up its medical record processing to cover all 200 cases weekly.