<?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/ff258c1a3f5542038c3aabc105aeb2b7&quot; frameborder=&quot;0&quot; width=&quot;1234&quot; height=&quot;925&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>925</height><width>1234</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>925</thumbnail_height><thumbnail_width>1234</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ff258c1a3f5542038c3aabc105aeb2b7-f8beb2f566d8bbb4.gif</thumbnail_url><duration>233.604</duration><title>AI Slack Incident Timeline Creation in Jira Service Management</title><description>In this video, I’m excited to demo a new AI-powered feature for Jira Service Management that streamlines the incident timeline creation process. This tool will help on-call engineers easily identify and generate timeline entries during and after incidents. I walk through how to use the create-timeline comment in our Slack app to generate possible entries and send them to the incident. Please take a look and let me know your thoughts on this feature!</description></oembed>