<?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/27e7b9e23fae4e139e57339d26b2e555&quot; frameborder=&quot;0&quot; width=&quot;3456&quot; height=&quot;2592&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2592</height><width>3456</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2592</thumbnail_height><thumbnail_width>3456</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/27e7b9e23fae4e139e57339d26b2e555-706bcf81aca57af5.gif</thumbnail_url><duration>595.266667</duration><title>Convoso Agentic AI Demo</title><description>This Loom shows how to build and deploy Convoso Agente AI voice agents for outbound contact centers using Auto Workflow and fleets. The presenter demonstrates an AI agent call in a Convoso dialer campaign, including pre-qualifying a lead before handing off to humans, and shows the recorded conversation tracking on the agent monitor. It then walks through creating an agent by uploading 1 to 200 call recordings to generate a call script, configuring role, compliance rules, voice, and an LLM model optimized for low latency with 600 millisecond latency. Finally, it covers publishing the agent and creating a fleet tied to an inbound campaign, assigning five agents, and monitoring call status.</description></oembed>