<?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/7dc11f3c20e74c5fa5f8e80b48e56e07&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/7dc11f3c20e74c5fa5f8e80b48e56e07-d8f2d6ff1657751b.gif</thumbnail_url><duration>214.336</duration><title>The AI Lead Concierge: A Real-Time Qualification &amp;amp; Automated Response Engine</title><description>This Loom demonstrates a real-time lead qualification and automated follow-up workflow for an AI-driven dispensing engine. The presenter uses a Google Form to collect leads, then sends them to ChatGPT to determine whether each lead is hot or cold and formats the output. Another ChatGPT step generates an email for hot leads, and the results are used to create or update rows in a spreadsheet or alternative CRM while sending notifications and Gmail emails through pad A or pad B. A test run is performed with sample data (including a “5k” sales amount), and the presenter confirms the spreadsheet update and sent email to Curlito.ca.</description></oembed>