<?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/656666f7a06c4eca88272164a910b867&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/656666f7a06c4eca88272164a910b867-1ed3c376adf130a3.gif</thumbnail_url><duration>618.828</duration><title>Atomicwork AI Coworker - Focus on Value: The First ITIL 4 Guiding Principle, in Practice</title><description>This Loom demonstrates applying ITIL v4’s guiding principle of focus on value in practice using generative AI coworkers and reporting. The author argues that traditional SLA style metrics like MTTR, response time, and CSAT do not capture real value, and proposes measuring outcomes such as employee productivity from day one via access provisioning and tool usage. In a demo request assigned to a group, the coworker reviews Active Directory and other datasets, checks access timing and whether licensed users are productive, and generates value reports that can break down by application and stakeholder. The coworker is set to avoid faking data and generate outputs like HTML reports, with examples including productivity gains and charts. The discussion also previews additional coworkers for ticket resolution and uptime analysis, each producing value based on the specified outcomes.</description></oembed>