<?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/ca98d9899c1b455bbcb15ca504335c6b&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ca98d9899c1b455bbcb15ca504335c6b-3a8d381450637cae.gif</thumbnail_url><duration>294.195667</duration><title>AI Dentist Receptionist with TARS</title><description>This Loom presents an AI-powered dental receptionist built with TALS and integrated with a knowledge base and Salesforce for appointment lead creation. The workflow starts with an AIM conversation engine, uses knowledge retrieval to answer patient questions accurately from clinic documentation, and then collects booking details such as full name, email, phone number, preferred location, appointment date, and visit reason. After the patient confirms the summarized information, the system automatically invokes Salesforce to create a lead with the conversation summary and classifies the inquiry as hot, warm, or cold for follow-up prioritization. The speaker also briefly explains that they spent time learning how TALS works and referenced Salesforce documentation to align with real clinical workflows.</description></oembed>