<?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/74ea9879a1b940809dd2471fa382299d&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/74ea9879a1b940809dd2471fa382299d-1365ab2f47612ee3.gif</thumbnail_url><duration>153.265</duration><title>Building an End-to-End AI Agent Pipeline for Automated RFP Qualification 🤖</title><description>Assalamu alaikum! In this video, I walk you through our end-to-end AI agent pipeline for automated RFP qualification, focusing on the workflow that includes a human in the loop for verification. I demonstrate how we can approve specifications, which then allows us to append successful opportunities to our opportunities table. Additionally, I plan to test the workflow with a bad fit scenario to see how it performs. Please review the process and be prepared to provide feedback on the specifications as we move forward.</description></oembed>