video1.0<iframe src="https://www.loom.com/embed/d18d701950e4454cacf617e35b2a2b0b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d18d701950e4454cacf617e35b2a2b0b-10eec61c602b1765.gif300.693This Loom demonstrates how Repaced.ai automates health insurance claim handling in a back office. It explains three outcomes for each policy: auto-approve for straightforward covered cases, escalate to a human with a recommended decision and reasoning, or request more information when details are missing. The demo reviews claims for Alice, Diego, Preya, Marcus, and another case, including an example denial based on coverage expired on December 31, 2024 while service occurred June 5, 2024, and another denial with a 40 percent confidence score due to unclear scan data. It reports saving more than 94.5 hours per day with an FTE capacity of 14.3 and outlines an ROI view, emphasizing reduced manual tracking and faster processing.