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
- pts/sqm Density handled with high-fidelity point class separation.
- Data Density: Processing 20 points per square meter required significant computational power and manual oversight to avoid "noise" in critical pylon data.
- Encroachment Risk: Accurate classification of vegetation (Class 2) relative to power cables (Class 4) was essential for identifying potential strike risks.
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 classification codes (0-6) based on European utility management protocols.
- Workflow Setup: Mobilizing a dedicated LiDAR team specialized in French infrastructure taxonomy.
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.
