Insights
How Existing-Conditions Documentation Reduces Rework
Rework is one of the largest hidden costs in renovation projects. Accurate existing-conditions data addresses the root cause — not the symptoms.
- Category
- Insights
- Published
- March 5, 2025
- Read time
- 1 min
- Related Services
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Industry studies consistently estimate that rework accounts for 5–12% of total construction costs. On renovation and adaptive-reuse projects, that number can climb higher because the design is inherently dependent on existing conditions that may not be accurately documented.
The root cause of most renovation rework is the same: the design was based on incomplete or inaccurate information about what's actually in the building. A floor-to-floor height that's off by two inches. An undocumented beam that conflicts with a new duct route. A wall thickness that doesn't match the drawing. These discrepancies cascade through design, coordination, procurement, and installation.
Existing-conditions documentation through reality capture addresses this problem at the source. Instead of designing from assumptions and discovering conflicts in the field, teams design from verified spatial data that reflects the building as it actually exists — not as a decades-old drawing suggests it should be.
The financial case is straightforward. A typical reality capture scope for a commercial renovation costs a fraction of a single major change order. When that capture prevents even one significant field conflict — a rerouted mechanical system, a redesigned structural connection, a delayed occupancy date — the return on investment is immediate and measurable.
Teams that adopt existing-conditions scanning as a standard project start practice report consistently fewer RFIs, fewer change orders, and faster design timelines. The data doesn't just prevent rework — it accelerates the entire project by giving every team member a shared, trustworthy spatial baseline from day one.
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Mobile LiDAR Scanning
High-speed terrestrial scanning for interiors, exteriors, and complex sites — millimeter-accurate point clouds ready for downstream workflows.
BIM Modeling (Scan-to-BIM)
Registered point clouds converted into intelligent Revit models — LOD 200–400 — for design, coordination, and construction.
Architectural Drawings & Existing Conditions
As-built floor plans, elevations, sections, and reflected ceiling plans drafted from scan data for renovation and adaptive-reuse projects.

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