For decades, commercial real estate deal screening has followed the same basic process. An analyst receives an offering memorandum, opens a spreadsheet, and spends hours manually extracting rent rolls, T-12s and lease abstracts before forming a view on the deal.
The bottleneck has always been the same: unstructured data locked inside PDFs. A senior analyst might spend 20 to 30 minutes on data entry before deciding on a single offering memorandum. Across 10 to 15 deals a week, that becomes a serious drag on team capacity and on response time.
AI changes that, not by replacing analysts, but by removing the part of the job that was never a good use of their time. Document extraction tools now ingest offering memoranda, rent rolls and lease abstracts and return structured, usable data in minutes. According to JLL's 2025 Global Real Estate Technology Survey, 61% of institutional investors reported using AI for market analysis in 2025, up from 22% in 2023.
The firms deploying AI are executing deals faster, but speed is not the only benefit. Standardised extraction improves consistency, reduces avoidable manual error, and creates a cleaner starting point for institutional underwriting.
PROMS Enquiry helps real estate transaction teams extract and structure data from CRE documents so analysts spend less time building the first model and more time making the investment decision.
See what an institutional workflow looks like in practice.
PROMS Enquiry turns broker PDFs, Excel files and Argus inputs into a consistent underwriting workflow with auditability built in.