Improve coverage decisioning quality, grounded in the policy and endorsement terms that actually apply.
A property claim is decided against the policy and up to 30 endorsements beneath it, often from a two-line loss description at FNOL. Missed exclusions get paid, and the leakage goes unnoticed. This guide explains how Sprout.ai’s specialist AI agents check every claim against the documents that govern it and give adjusters a clear, traceable coverage recommendation inside Guidewire or their existing claims system.
What’s inside:
- Why manual policy review struggles with endorsements, exclusions and limited loss descriptions
- How Sprout.ai moves from claim data to a coverage recommendation
- Results from production: 30%+ more non-covered claims flagged and around 45% less time spent on policy checking in complex claims
- FAQs on adjuster oversight, regulatory review and catastrophe surges