video1.0<iframe src="https://www.loom.com/embed/d8142b6a714646dcb6d1992f50972621" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d8142b6a714646dcb6d1992f50972621-f54ec073d94cdd83.gif400.768A walkthrough of the Clay workflow built during AlphaForge’s GTM Engineering Bootcamp. This demo shows how the operating model described in Building an AI-Native Account Prioritization Engine was implemented—from data enrichment and qualification through prioritization, segmentation, and outbound recommendations. It serves as the working artifact behind the accompanying case study.