<?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/804607b5589b4a1fb897aa4627278aa7&quot; frameborder=&quot;0&quot; width=&quot;1706&quot; height=&quot;1280&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1280</height><width>1706</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1280</thumbnail_height><thumbnail_width>1706</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/804607b5589b4a1fb897aa4627278aa7-5a11d6f26fb78096.gif</thumbnail_url><duration>50.066667</duration><title>Using AI to Ensure Job Closeouts</title><description>This Loom explains how AI and Housecall Pro can enforce technician job closeout best practices to get paid faster. The system looks daily at the schedule, checks jobs marked done, groups them by crew lead, and compares whether technicians like Austin and Kyle, and teams like Mike and James, closed out all their jobs properly with the required notes, pictures, and time tracking. If a job is missing elements, it sends crew leads a reminder with a link to Housecall Pro to add photos. The Loom also notes there are over 250 workflows available across customers, so teams do not need to start from scratch.</description></oembed>