The Client
A real estate investment firm managing a growing portfolio of commercial properties. Every property assessment required analysts to sift through documents, pull data from multiple sources, and compile reports by hand — a bottleneck that limited how quickly the firm could evaluate and act on new opportunities.
The Project
VisionWrights built a proof of concept using natural language processing and document automation. The system automated data collation from multiple sources — property records, inspection reports, financial statements, and market comparables — and used AI-driven summarization to generate standardized assessment reports.
The solution was designed to work within the firm's existing workflows, not replace them. Analysts still review and approve every assessment, but the system handles the time-consuming gathering, structuring, and initial summarization that previously consumed the majority of their effort.
The Result
The engagement demonstrated that AI-driven automation could meaningfully compress the due diligence cycle without sacrificing quality. The firm gained the ability to scale assessments without adding headcount — a critical advantage in a competitive acquisition environment.
- ✓Due diligence timeline reduced from days to hours
- ✓Scaled operations without adding headcount
- ✓Consistent, AI-generated property summaries across all assessments
- ✓Analysts freed to focus on high-value decision-making and deal evaluation
- ✓Foundation established for broader automation across the investment workflow