<?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/c345c9a11b4c439b81024eab426e4fbd&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/c345c9a11b4c439b81024eab426e4fbd-a584bf4838e8b0b0.gif</thumbnail_url><duration>241.024</duration><title>Co-Signal Agent System for Workforce Risks</title><description>This Loom presents Co-signal, an agent-based capability risk detection system for identifying workforce issues before they become operational failures. The demo runs three agents that aggregate signals from support tickets, LMS test scores, and other inputs, apply detection rules, then call Claude via the Anthropic API to generate actionable interventions streamed to a live dashboard. For a Microsoft Dynamics 365 warehouse rollout example, a high-priority gap triggers an immediate 90-minute hands-on session with all 10 inventory team members to walk through 14 adjustment scenarios using live D365 sandbox data. The plan also includes creating a one-page quick reference card and assigning a process buddy for same day questions over the next two weeks.</description></oembed>