video1.0<iframe src="https://www.loom.com/embed/1502609e4ce84b3eb5cf8b6488e9740b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/1502609e4ce84b3eb5cf8b6488e9740b-4a666c4a5e1a4a68.gif3902.56This Loom explains AI strategies for construction accounting and estimating, focusing on how to reduce job costing and financial management friction to improve net profit. Speakers argue that AI must automate real, repetitive workflows with construction-specific context rather than generic chatbots, using components like OCR, large language models, and agentic AI. They describe AP automation benefits including a cited average of 12.5 minutes per invoice manually and emphasize safeguards and human checkpoints, plus faster AR and weekly or as-needed WIP reporting. The estimating segment highlights using LLMs for class C through class D de-estimates to cut timelines from 1 to 2 weeks down to about a day, and they share four downloadable prompts and templates via a QR code for viewers to use.