AI-First Investment Committee Memos: Automating Real Estate Reports
Challenge
Preparing Investment Committee Memos (ICMs) was a repetitive and manual task. Analysts spent hours compiling property data, market insights, and risk assessments to produce standardized reports. The real estate client wanted a faster, more accurate way to generate ICMs using AI—without losing quality or oversight.
Approach
Using the Managed AI Services (MAIS) approach, FLS developed and implemented a proof-of-concept application that automates memo generation using natural language processing (NLP), retrieval-augmented generation (RAG), and structured data extraction. The solution integrated OpenAI’s language models with the client’s internal data systems to populate reports automatically.
Solution
Users can log into a dedicated web interface, upload relevant deal documents (PDF or EML), and trigger the memo generation process. The system extracts key parameters—such as purchase price, tenant information, and key risks—and enriches them with contextual data like proximity to ports, highways, and comparable leases within a defined radius.
The result is a text-based Investment Committee Memo that summarizes the information clearly and consistently—ready for review and refinement by decision-makers.
Key Benefits
- Automated generation of ICMs reduced prep time dramatically.
- Standardized outputs improved consistency across teams.
- Enabled analysts to focus on analysis and validation rather than document formatting.
- Provided an auditable, scalable blueprint for integrating AI in core business documentation.
November 2025