<?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/70c651b8dc9448c58430dfc58bbcf5c3&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/70c651b8dc9448c58430dfc58bbcf5c3-aac65dd14f1af007.gif</thumbnail_url><duration>300.075</duration><title>GTM Strategy for Ambient AI in Texas School Districts</title><description>In this video, I present a GTM strategy for Ambient AI, specifically targeting Texas School Districts due to the convergence of key factors like Alisa&apos;s law and recent incidents highlighting the need for behavioral detection. My ideal customer profile focuses on districts with 10,000 to 50,000 students, as they have the budget and agility to implement new solutions. I&apos;ve built a 14-step automated pipeline that includes data collection, outreach, and performance monitoring, all centralized in Postgres for efficiency. I encourage you to explore the code and data I&apos;ve shared, as well as the email variations designed for superintendents and safety directors. Your feedback and engagement with this strategy will be invaluable as we move forward.</description></oembed>