<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/02503f6f1829473fb2725d528f1ae5d0&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/02503f6f1829473fb2725d528f1ae5d0-e6ddb36fc72fcd1e.gif</thumbnail_url><duration>56.733333</duration><title>Incepta Thesis &amp;amp; Introduction</title><description>Jacob Smith, founder of Incepta, explains why recent AI efforts in insurance agencies, MGAs, and carriers have not delivered meaningful ROI over the last two years. He argues that much of the available technology focuses on generating tokens and improving work in ways that do not directly connect to the bottom line. Incepta aims to automate entire end to end servicing tasks using computer use agents that operate with mouse and keyboard like a human and do not require API integration. He concludes that this approach targets whole roles and tasks, freeing staff for more human-focused work.</description></oembed>