Build.inc uses LangGraph multi-agent architecture to complete CRE land diligence in 75 minutes versus four weeks manually
Land diligence workflows for energy-intensive CRE projects (data centers, renewable energy) took over four weeks, consumed nearly half of the total project timeline, and cost developers millions of dollars. The fragmented US regulatory landscape and the need for deep specialist expertise made traditional software solutions inadequate.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Land diligence request initiated
Real estate stakeholders hire the worker to research a piece of land to understand if it is suitable for a particular project.
Tools used
LangGraphLLMs
Outcome
Build.inc's first worker, Dougie, is now in production for CRE industry clients and completes land diligence in 75 minutes—what previously took humans over four weeks—with a depth and quality that human teams cannot match even over the course of several weeks.
What failed first
Traditional software could not handle the complexity and variability, fragmented data ecosystem, and high-stakes specialist requirements of CRE development workflows.