<?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/cbb6ef966a474c60aa1c9a2476b05892&quot; frameborder=&quot;0&quot; width=&quot;3342&quot; height=&quot;2506&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2506</height><width>3342</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2506</thumbnail_height><thumbnail_width>3342</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/cbb6ef966a474c60aa1c9a2476b05892-c6f2a83e32c2c752.gif</thumbnail_url><duration>304.981</duration><title>(Demo) How Clarifeye empowers expert offboarding</title><description>This Loom explains how Clarify captures and hands over critical business knowledge so an expert’s successor can answer urgent order questions accurately. After planner Léa Fontaine left, Emma used Clarify to handle a battery request for a Lyon dealer, and the system specified not to use Airfright due to the lithium cell and set the shipping cutoff to 3.30 rather than the documented 4. The video rewinds six weeks earlier to show Léa uploading official documents, asking Clarify to identify conflicts, creating a business process and knowledge coverage map, and running guided interviews in Dutch, French, and English to resolve what sources missed, including the correct cutoff at 3.30. Once resolved, that unwritten rule was stored in the knowledge store and could be cited with source links.</description></oembed>