Why Poor Project Data Drives 52% of Construction Rework and How High-Quality 3D Documentation Reduces It
According to Autodesk and FMI, industry data shows that 52% of all rework in U.S. construction is tied to poor project data and miscommunication, including incomplete or inaccurate site documentation. This accounts for an estimated $31.3 billion in avoidable costs each year.
As technology becomes more accessible and more effective, reducing these inefficiencies is no longer aspirational. It is essential. What if teams could reduce rework, strengthen QA/QC, and eliminate guesswork before concrete is poured or drywall is installed?
By leveraging Matterport technology and LiDAR sensors, capturing accurate, high-impact visual data has never been more achievable.
The immediate benefits are significant:
1. Alignment across teams
A single link becomes a shared visual source of truth for existing conditions. Every stakeholder has access to an interactive, measurable 3D model of the site. From owners and development teams to superintendents and trade partners in the field, everyone can reference the same conditions and the same data, reducing ambiguity and miscommunication.
2. Reduced rework
The risk of misinterpreting redlines or relying on incomplete photo documentation is no longer necessary. A high-fidelity digital twin of existing MEPF conditions creates a precise as-built record of what is behind the walls, helping teams catch coordination issues early and minimize costly downstream corrections.
3. Future-proofed assets
Leaks happen. Power fails. Renovations and warranty issues arise. Instead of troubleshooting blindly, teams can reference accurate as-built conditions in minutes rather than hours or days. The result is less time lost, fewer materials wasted, lower labor costs, and better protection for the project’s bottom line.
This is why Krosshatch exists. We provide high-quality 3D construction documentation that reduces risk, improves coordination, and limits the financial burden caused by incomplete or inaccurate project data.
