video1.0<iframe src="https://www.loom.com/embed/b4a0df517e244994a4387e31645c1f67" frameborder="0" width="1900" height="1425" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14251900Loomhttps://www.loom.com14251900https://cdn.loom.com/sessions/thumbnails/b4a0df517e244994a4387e31645c1f67-c741b8d8f927a88a.gif164.961This Loom explains how an AI layer streamlines messy insurance claim files to reduce paperwork and missed deadlines. It pipelines claim data directly from the claims management system, including FNOL, policy declarations, and photos, without changing the adjuster workflow. The AI produces an intelligent analysis that tells the adjuster what happened and what must happen next, highlighting submission blockers such as missing endorsements and exclusion schedule and a missing proof of loss required by carrier SOP, plus a file checklist, chronology, and claim notes. It also flags items needing human judgment, including a photo inconsistency between mold description and image evidence, duplicate midline items, and potential leakage and subrogation opportunities.