Roots AI Agents can handle up to 8 times the workload of a traditional employee and works 24x7 to automate claims indexing and process FNOL requests automating data capture and classification with 98%+ accuracy. Automate triage, assignment, and reserve setting procedures to expedite claims initiation and response timeframes. All while freeing up time and capacity for your skilled personnel to work on more complicated claims management, adjudication, and customer engagement.

Roots AI Agents can categorize over 50 different types of claims documents with greater than 99% accuracy and consistency, which is difficult to achieve manually because of human subjectivity. Roots uses InsurGPT to accurately extract important claims information from both structured and unstructured documents, including claimant name, policy number, claim amount, and cause for claim. Automating the data extraction and entry processes gives adjusters access to more accurate data, which leads to faster claims resolution and greater insights for claims management and decision-making.

Processing FNOL straight-through at 99% or higher, as well as automating other claims-related procedures, reduces administrative costs, manual labor, and dependency on third-party outsourcers. Collecting precise and error-free claims data allows adjusters to focus on specifics and execute procedures more consistently, leading to reduced overpayments.