AI Medical Office Building Analysis
The Problem
“Slow, inconsistent underwriting for medical office buildings”
Organizations face these key challenges:
1
Fragmented, unstructured data across leases, amendments, estoppels, and property accounting makes MOB underwriting slow and error-prone
2
MOB-specific risks (provider credit, specialty concentration, health-system affiliation, regulatory/reimbursement sensitivity) are difficult to quantify consistently across deals
3
Limited ability to continuously monitor tenant and building performance leads to late detection of rollover, collections, and CapEx risks
Impact When Solved
60–80% faster underwriting and investment memo production, enabling faster bids and higher deal throughput30–50% reduction in external lease abstraction and document review costs with improved term accuracy and audit trailsEarlier risk detection (3–6 months) and 1–3% OPEX leakage reduction through automated variance flags and portfolio benchmarking