This case study shows how SBL turns operational complexity into a governed digital operating model where workflow, data, quality and decisions can be managed together.
The institutional challenge
- Feature Complexity: Extracting over 140 distinct types of features-from overhead signs to curb-level markings-requires deep domain expertise in mobile mapping.
- Specification Rigor: The project demanded strict adherence to Metrolinx Topographic standards, requiring seamless conversion to Inroads-compatible design files.
- Mobile Data Density: Managing and interpreting high-density mobile survey LiDAR data without losing fidelity in small-scale assets (e.g., utility valves or specialized road furniture).
What SBL engineered
- Converted physical, geospatial and asset evidence into structured spatial intelligence.
- Applied GIS, BIM, LiDAR or mapping workflows with accuracy controls and governance-ready outputs.
- Delivered decision-ready models that support infrastructure planning, conservation, inspection or asset management.
- Consult & Align: Defining the feature code list and symbology standards based on provincial transit specifications.
- Workflow Setup: Mobilizing 5 specialized LiDAR modellers using Bentley Descartes for high-fidelity extraction.
How the work should be understood
SBL's role is not limited to executing a task. The value comes from understanding the operating workflow, engineering the data and automation layer, applying governance controls, and helping the institution move from manual dependency to intelligent, measurable operations.
