<?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/c1f114e2ee3945a9b081d4d36e552af1&quot; frameborder=&quot;0&quot; width=&quot;1308&quot; height=&quot;981&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>981</height><width>1308</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>981</thumbnail_height><thumbnail_width>1308</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c1f114e2ee3945a9b081d4d36e552af1-e0691f14a599604d.gif</thumbnail_url><duration>252.616</duration><title>Automated CRM Workflow with Airtable and OpenAI</title><description>This Loom demonstrates an end-to-end automated workflow for a daily follow-up process using Airtable, OpenAI, and email testing. The author shows a dummy Airtable CRM with fields like notes, contacted date, status, code amount, and phone number, and walks through triggering steps including a daily scheduler and a reply webhook. During testing, a sample row was executed, then marked as closed and updated in Airtable after refresh, with an example email reporting “address not found.” The Loom also notes an error-notification path that can alert a human via Slack and mentions alternative API-triggered flows.</description></oembed>