<?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/6edd4804c099469c909f011524c28b4c&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6edd4804c099469c909f011524c28b4c-cd060e216f55b378.gif</thumbnail_url><duration>239.083</duration><title>AI Maintenance Request Classifier</title><description>This Loom shows a workflow to help property managers respond to maintenance requests faster by automating the first triage step. It demonstrates a tenant form submission describing an emergency flooding issue, after which the system reads the description, determines the issue type and urgency, creates a summary, and generates a request ID. At the same time, every request is saved to a Google Sheets maintenance tracker with category, urgency, summary, and request ID. The workflow also alerts the property manager immediately via Gmail with a red notification for urgent action, reducing manual sorting and enabling faster responses.</description></oembed>