<?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/ff685cd788bd4e15b75b459692d8a50a&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/ff685cd788bd4e15b75b459692d8a50a-0cda88e46c649fa8.gif</thumbnail_url><duration>511.072</duration><title>Automating Lead Responses with AI: A Case Study 🤖</title><description>In this video, I walk you through an AI agent I built using Make.com, which we tested live for a client to automate their event invitation responses. We achieved a 29% acceptance rate and a 27.4% reply rate in the campaign, which was focused on inviting people to various events. I explain how the AI agent manages responses, including handling edge cases and generating appropriate replies based on sentiment. I also highlight the importance of timing in responses, as we added a five-minute delay to make interactions feel more human. I encourage you to explore similar automation opportunities in your own workflows.</description></oembed>