AI-Powered Construction Progress Tracking for Real-Time Invoice Validation

A large construction and project management firm overseeing commercial builds across distributed sites. The organization is committed to timely project delivery, real-time stakeholder visibility, and digital transformation of on-ground operations.

The Need:
To ensure transparency and timely billing, the client required an AI-driven solution that could automatically analyze images from CCTV cameras and drones to verify site progress. The goal was to link billing milestones directly to actual work completed—minimizing disputes and eliminating reliance on manual inspections.

Our Solution:
We architected an image analytics platform using AWS services including S3, SageMaker, Lambda, and QuickSight. The system uses advanced computer vision techniques—object detection, segmentation, and change detection—to measure progress across zones and phases. The data is processed securely and integrated with the invoicing system to automate milestone validation.

Outcome Achieved:

• Automated tracking of site progress using real-time camera and drone imagery
• Linked visual evidence directly to billing events for milestone-based invoicing
• Delivered zone- and task-level insights through interactive AWS QuickSight dashboards
• Strengthened compliance with audit trails and secure access controls (IAM, CloudTrail)
• Reduced manual overhead, accelerating invoice cycles and improving cash flow