<?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/a6caecaff6794a21b103fbc856361d20&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a6caecaff6794a21b103fbc856361d20-bead633e5ad222d0.gif</thumbnail_url><duration>243.3</duration><title>Exploring AI Agents for Customer Support Solutions 🤖</title><description>In this video, I demonstrate how my AI agents work within tech e-solutions, focusing on their ability to respond to customer inquiries via email. I created various scenarios to enhance their functionality, including handling customer complaints and retrieving document attributes. I also showcase a specific interaction where I, as a customer, inquire about accessing my dashboard and team capacity. The AI agent responds promptly with helpful guidance, including resetting passwords and clarifying user limits on our startup plan. I encourage viewers to explore the capabilities of these AI agents and consider how they can improve customer interactions.</description></oembed>