video1.0<iframe src="https://www.loom.com/embed/0099d6be04fd4e45a7259145395edbaf" frameborder="0" width="1832" height="1374" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13741832Loomhttps://www.loom.com13741832https://cdn.loom.com/sessions/thumbnails/0099d6be04fd4e45a7259145395edbaf-21e8a64b1ecd1eee-full.jpg3623.56This Loom covers how AI agents and Adaptive can improve construction accounting workflows, especially job costing and the whip process. Speakers Zach Kelly from Adaptive and Justin Aniel from Loom discuss replacing manual, inconsistent processes with automated bill coding, AP, approvals, billing draws, compliance tracking, and more timely forecasting, so weekly job cost reports and month-end close are more accurate. Justin shares experience working with about 200 construction companies and emphasizes the causes of broken numbers, while Zach highlights using AI to reduce tedious work such as document chasing and capturing invoice data in a few keystrokes. They stress that AI works best with established processes, testing, oversight, and rolling out agents step by step rather than all at once.