<?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/eca9aa8999d744c497171b780a859c06&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/eca9aa8999d744c497171b780a859c06-0264d55554300770.gif</thumbnail_url><duration>200.763</duration><title>Using NotebookLM to Centralize Operational Knowledge</title><description>This Loom demonstrates how an AI workflow can centralize operational knowledge by answering leadership and onboarding questions using uploaded internal documents. It shows how NotebookLM provides grounded responses with annotations citing where information came from, such as identifying risks like installer shortages, supplier delays, unresolved customer complaints, and lead follow-up issues. The video also covers using SOP material to specify what a new installer must complete before visiting customer sites independently. Finally, it illustrates applying customer cancellation policy details for a request to cancel five days before installation.</description></oembed>