<?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/76a2b35b5aba421698c749302ad82fd7&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/76a2b35b5aba421698c749302ad82fd7-bc76f8de0eda6228.gif</thumbnail_url><duration>430.367</duration><title>Voice AI Receptionist for Real Estate</title><description>This Loom explains how inbound and outbound voice AI agents work, using a real estate example. In the inbound demo, the caller, Kate from Red Corp Real Estate Group, collects details like name, phone number, email, and the property address, then offers in-person or video chat tours before sending a licensed professional to schedule. The Loom then contrasts this with an outbound voice agent that calls leads from a Google sheet, checking whether they are still interested and only calling leads that have not already answered. In the lead reactivation demo, the agent asks about interest, records call status as answered with a warm interest level and a six month timeline after the caller is pre-approved, and transfers hot leads to a human agent.</description></oembed>