<?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/8ed5a88496374683905c5854449ebe15&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/8ed5a88496374683905c5854449ebe15-90a1205a1c2db963.gif</thumbnail_url><duration>159.609</duration><title>Streamlining Ticket Resolution with AI Integration 🚀</title><description>In this video, I walk you through our ticket submission process, which can be done manually through our portal or integrated with services like Slack and GitHub for automated issue detection and resolution using agentic AI. I provide an example of creating an access request ticket and explain how the AI can autonomously resolve it or notify us via Slack. Although I haven&apos;t integrated those services yet for this demo, once implemented, we can achieve end-to-end ticket resolution. Additionally, I highlight the ability to monitor logs of recent activities related to ticket management. Please consider exploring these features and think about how we can enhance our workflow.</description></oembed>