Turn a large volume of unstructured claim information into an eligibility decision, tested against the policy definition.
Life and protection claims arrive with medical records, treatment histories, death certificates and other evidence, often at a difficult moment for the family. The answer is rarely on a single page. This guide explains how Sprout.ai’s specialist AI agents reconstruct what happened, test it against the definition that governs the claim, and give adjusters a cited, reasoned recommendation, so they spend less time assembling evidence and more time on the people and conversations that matter.
What’s inside:
- Why policy definitions, waiting periods and contestability windows make life claims hard to automate
- How Sprout.ai moves from claim data to an eligibility recommendation
- Results: up to 90% faster claim assessments, with time to reach an adjuster cut from 70+ days to minutes
- FAQs on long medical records, incomplete files and regulatory review