Nishan Kohli: Scaling BIM Services Across Complex Portfolios

As organizations adopt Building Information Modeling at scale, the challenge shifts from individual project execution to portfolio-wide consistency.

For Nishan Kohli, scaling BIM services requires a structured approach that balances standardization with flexibility. Large asset portfolios introduce variability in building types, data quality, and operational requirements, making it difficult to apply a single rigid framework.

The first step in scaling effectively is establishing repeatable processes. This includes standardized approaches to data capture, modeling conventions, and quality control. Without these foundations, BIM implementations can quickly become fragmented.

Another critical factor is integration. BIM data must align with the systems used by owners and operators, including facility management and asset tracking platforms. Without this alignment, models risk becoming isolated deliverables rather than functional tools.

Nishan Kohli emphasizes that scale introduces both opportunity and complexity. While portfolio-level BIM enables greater visibility and coordination, it also requires robust workflows and disciplined execution.

At BIMstream, scaling efforts have focused on building production pipelines that can operate across distributed teams while maintaining consistent quality. This includes structured QA/QC processes and clearly defined delivery standards.

Ultimately, the goal is not simply to produce models at scale, but to deliver structured, reliable data that supports long-term asset management and operational efficiency.