<?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/e8706389e61b4137baee4458e5bdf671&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/e8706389e61b4137baee4458e5bdf671-12375635f695d8ec.gif</thumbnail_url><duration>116.634</duration><title>Digitizing Business Context for Automated Work</title><description>This Loom explains Adanora’s context layer and how it digitizes both structured business data and tacit human knowledge. It connects systems of record such as ERPs, ERMs, and MESs with digitized inputs like handwritten notes, maintenance tickets, emails, and PDFs. The example shown is a metal infrastructure manufacturer that combines structured information with procurement manager insights and digitized manual work orders previously not accessible digitally. The core takeaway is that agents and teams can access the right information at the right time to automate work that previously required a human context holder.</description></oembed>