video1.0<iframe src="https://www.loom.com/embed/274eb710a2d1429dbaa09366927c70a4" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/274eb710a2d1429dbaa09366927c70a4-3f13698f8483e249.gif291.52This Loom demonstrates an AI-powered customer support automation workflow that collects inquiries, analyzes them, and logs responses for tracking. It integrates inputs from a Karma Promo website contact form and a second GMA3D channel, normalizing both into a consistent infrastructure before sending the query to an AI model for priority and sentiment classification, summary generation, and a draft response with reasoning. The JSON output is parsed via a JavaScript node and logged into Google Sheets, and an email flow from Gmail then generates and sends an automated edit back. The presenter runs a webhook demo and mentions an issue related to Google Sheets permissions, ending with a modular overview of extending the tool to systems like CRMs, helpdesks, and Slack.