Use Case: AI-Powered Job Progress Updates
Company Profile
Type: General Contractor
Size: $1B annual revenue
Projects: Large commercial and institutional builds
Region: Midwest, United States
Problem
The contractor struggled to obtain consistent and reliable updates on project progress. Field teams relied heavily on manual reporting, which often resulted in delays, incomplete data, and inconsistent jobsite visibility. Executives and project managers lacked real-time insights into schedule adherence and productivity trends across multiple active projects.
AI Solution
The contractor implemented Buildots, an AI-driven construction progress tracking platform that uses site imagery and 3D modeling to automatically analyze work completion. By integrating directly with project schedules and BIM models, Buildots provided near real-time updates on progress and helped identify deviations from planned timelines before they became costly delays.
Results
- Automated progress tracking reduced manual reporting time by 75% and improved accuracy by over 90%
- Project teams were able to address schedule deviations early, with up to 50% improvement in schedule adherence, which resulted in an average of 10% reduction in project overruns
- Executives gained a unified dashboard for real-time performance monitoring across all active projects
Why it Matters
AI-based progress tracking transforms how contractors manage performance and accountability. By replacing manual reporting with data-driven insights, teams can make faster, more confident decisions—ultimately improving profitability and client satisfaction on every job.