<?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/c47bf92401b7484c8f3a00a3a598a111&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/c47bf92401b7484c8f3a00a3a598a111-a1d940cfc4be8fde.gif</thumbnail_url><duration>306.45</duration><title>Introducing Baseline AI Chat</title><description>This Loom introduces a built-in AI assistant in the admin dashboard that lets admins interact with facility data outside of standard reports. It explains permissions: admin access to a facility controls what the AI can return, multi-location access limits results to the allowed facilities, and AI chat access can be removed via dashboard permission. The examples include tryout invite analysis showing 203 matched team invitations and 50 users without invite or decline, plus 34 unique invited athletes who declined. It also demonstrates real-time customer spend comparisons, new customer and rental trends by month, and capacity analysis for trainers over the last three months with recommendations.</description></oembed>