<?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/359f788d11384bdfa48b47af67a596fd&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/359f788d11384bdfa48b47af67a596fd-becbdd6ba953a6d1.gif</thumbnail_url><duration>223.827</duration><title>AI Lead Intelligence Pipeline</title><description>This Loom explains an AI-powered lead qualification workflow built in n8n that analyzes incoming leads and routes them automatically without manual review. It starts with a GHL lead intake webhook, then enriches each lead by scraping the company website for additional context. Claude (using a structured JSON output) and retry and validation logic ensure reliable results, including prompts that re-run if JSON is invalid. Leads are scored and routed based on ICP score thresholds, with ICP above 70 triggering a personalized outreach email, adding the lead to the CRM, and a Slack notification to sales, while medium and low scores go to nurture via a viewpoint sequence, Google Sheets logging, or future campaign handling.</description></oembed>