<?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/c89f8729243548cfb67538de30c6c284&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/c89f8729243548cfb67538de30c6c284-a2d5bf72f5bb24e4.gif</thumbnail_url><duration>215.514</duration><title>Employee Offboarding Intelligence: Capturing Critical Knowledge</title><description>This Loom presents an Employee Offboarding Intelligence solution focused on extracting critical knowledge during an employee’s notice period. It cites a study that 42% of an employee’s work knowledge is only known by themselves and can be lost after they leave. The demo uses a RAG-based “company brain” to answer gaps such as why the company uses Corbit SMS, then traces the missing knowledge to Sam’s recent works. It cross-references what Sam knows versus what his successor, Priya, knows, and uses documents to interview Sam about the gaps before Priya takes over.</description></oembed>