<?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/06cf42e267794a9f856abd02f61b8077&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/06cf42e267794a9f856abd02f61b8077-76930b74afb5eb9c.gif</thumbnail_url><duration>302.53</duration><title>Transforming ESG Risk Management with AI Automation</title><description>In this video, I discuss how many companies face challenges with outdated ESG data, which can lead to compliance failures and reputational damage. My AI workflow, built with NAND 8, continuously monitors and analyzes ESG signals in real-time, transforming reactive risk management into a proactive strategic advantage. The system extracts relevant data from trusted sources and summarizes a company&apos;s ESG performance across key metrics, providing actionable insights. I encourage viewers to consider implementing such solutions to enhance their ESG risk management processes. This approach not only saves hours of manual monitoring but also empowers companies to act swiftly on ESG risks.</description></oembed>