<?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/10590681044b4e0db23ca96ac6d1ef41&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/10590681044b4e0db23ca96ac6d1ef41-4a5d8ead0029fb12.gif</thumbnail_url><duration>2606.608</duration><title>Using AI Compliance Rules</title><description>This Loom explains how to set up and use AI Compliance to enforce company rules on quotes, sales orders, invoices, and service tickets. It shows where to create rules under Point of Sale settings by using natural language, dividing them into Quote Analysis, Sales Analysis, and Service Analysis rules, with examples such as correct margins for line items and restricting certain brands under UMRP. The AI flags violations with red dots and provides details and recommendations, and you can fix issues then reanalyze to turn violations into green or compliant status. It also demonstrates running AI Compliance reports with statuses like non-compliant, all analyzed, critical only, warnings only, compliant only, and not analyzed, with filters for salesperson, location, and date range such as year-to-date.</description></oembed>