<?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/5f2157b3ca4a429aa71782d56b188f84&quot; frameborder=&quot;0&quot; width=&quot;1818&quot; height=&quot;1363&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1363</height><width>1818</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1363</thumbnail_height><thumbnail_width>1818</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5f2157b3ca4a429aa71782d56b188f84-fdd9545a4a261a95.gif</thumbnail_url><duration>127.039</duration><title>Creating an Agentic Workflow for High-Performing Biopharma Teams</title><description>In this video, I demonstrate how we can utilize Salt to create an agentic workflow that mirrors a high-performing McKinsey Biopharma team. We start with a client question from R&amp;D at Merck, focusing on leveraging basket trials like Keytruda to enhance adaptive trial capabilities. By employing various LLMs to represent different team roles, we structure the engagement and develop a comprehensive work plan. I encourage you to consider how this model can be applied to your own projects and workflows. Please think about the potential of integrating these insights into your strategies moving forward.</description></oembed>