<?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/a762eb78552647b4b9c4087159b4527a&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/a762eb78552647b4b9c4087159b4527a-40c34057e9f3c712.gif</thumbnail_url><duration>96.207</duration><title>Automating Customer Support with AI Workflows 🤖</title><description>In this video, I walk you through a customer support automation workflow I built using Anitin, Zapier, and OpenAI. The process begins with a Gmail trigger that monitors for new messages, which are then categorized by an AI text classifier powered by GPT-4. Support-related queries are routed to an AI agent that retrieves information from a Pinecone Vector store and generates personalized responses sent back via Gmail. This workflow exemplifies the core logic needed for your GHL plus Zapier plus ChatGPT SMS system. I encourage you to consider how this automation can enhance your own customer support processes.</description></oembed>