<?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/6cea95fc47c541ef9a325a68f07c15ad&quot; frameborder=&quot;0&quot; width=&quot;1838&quot; height=&quot;1378&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1378</height><width>1838</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1378</thumbnail_height><thumbnail_width>1838</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6cea95fc47c541ef9a325a68f07c15ad-7b3bec3a2067f2ce.gif</thumbnail_url><duration>275.094</duration><title>Day 7 AI calls to prevent churn 🤖</title><description>Hi, I am Vasu Bansal. I built a churn guard and voice AI customer success workflow that calls customers around day 7 after signup and runs a structured health check conversation. It detects blockers like setup confusion or cancellation intent, then sends the transcript plus call metadata into a live dashboard with a health score, risk label, blocker, sentiment, and recommended action. In the demo, I made a real outbound call and the customer said the docs were unclear and they could cancel. I track reduced day 30 churn risk and faster visibility of onboarding blockers before cancellation. No action was requested from you.</description></oembed>