<?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/30d214e6022647b8b0d82d02064c88ca&quot; frameborder=&quot;0&quot; width=&quot;1660&quot; height=&quot;1245&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1245</height><width>1660</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1245</thumbnail_height><thumbnail_width>1660</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/30d214e6022647b8b0d82d02064c88ca-9387018497d15841.gif</thumbnail_url><duration>249.428</duration><title>Aligning Teams with AI Workshop Briefings</title><description>This Loom explains Datentreiber’s process for aligning heterogeneous workshop teams on a common goal using an AI-assisted briefing template. Georg describes uploading relevant documents and gathering stakeholder input into a structured Miro AI flow that generates a briefing covering business objectives, goals, guidelines and constraints, legal requirements, and possibly a gap analysis. The briefing is then used as an input for an AI-assisted workflow during the workshop, improving the quality of AI-produced results by providing overall context. He notes the process is iterative rather than a one-time exercise and that the summarization template should be available in Miroverse by searching for Datentreiber.</description></oembed>