<?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/68a8f0e4cb5c454d9dc3683b78066a6d&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/68a8f0e4cb5c454d9dc3683b78066a6d-4944c8c7973b0930.gif</thumbnail_url><duration>262.02</duration><title>AI Support Ticket Triage in 60 Seconds</title><description>This Loom shows how to build an AI-powered support ticket triage workflow in n8n that classifies incoming support emails and routes them for instant replies or human escalation. It uses a Gmail trigger to monitor the inbox, then an AI node returns categories, demand priority, urgency level, and a suggested reply, with a code node parsing the results into fields. If urgency is higher critical, the workflow escalates via Slack for urgent cases like an account access issue with a team deadline today, while lower-priority emails trigger an automatic personalized Gmail reply within seconds. Every ticket action is logged in Google Sheets with ticket ID, dates, and category, running 24 7.</description></oembed>