<?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/3f0c8b8bcd024b5c9cade28036008a32&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/3f0c8b8bcd024b5c9cade28036008a32-a6767b945c4dcf63.gif</thumbnail_url><duration>997.422</duration><title>Introducing CRIA: The Change Record Intelligent Assistant</title><description>Hi everyone, in this video, I’m excited to introduce my project called CRIA, or Change Record Intelligent Assistant, which leverages AI to streamline the process of drafting change records in MNCs. By allowing users to input their change record intent in natural language, CRIA generates structured implementation plans, risk analyses, and testing strategies based on historical data. I utilized a retrieval augmentation generation architecture trained on over 150 synthetic change records, employing embedding models for semantic search. This production-ready solution can significantly reduce errors and save time in change management processes. I encourage you to explore how this tool can be integrated into our existing platforms.</description></oembed>