Production systems, anonymized clients
AI System Case Studies for Commercial Real Estate
These are production systems we designed, built, and shipped for commercial real estate investment firms. Each case study describes the system: what it ingests, how it scores or drafts, and what the team gets every morning. Clients are anonymized by agreement; the mechanics and the first-party numbers are real.
Built for a Florida industrial value-add investment firm
AI Deal Screening for Commercial Real Estate.
A Florida industrial investor cut underwriting from 15 hours to 3 minutes with automated extraction, scoring, and on-demand memos.
Built for a Midwest manufactured-housing investor
Off-Market Deal Sourcing Software for CRE.
A Midwest manufactured-housing investor sources across 197 counties weekly with 14-signal scoring and verified owner contacts.
Built for a commercial real estate investment team
Investment Committee Memo Automation.
Upload an offering memo, get a structured deal snapshot, an IC memo draft, and an asset business plan from the same data.
Built for a Bay Area multifamily investor
How to Find Off-Market Multifamily Properties.
A Bay Area multifamily investor turned nightly county-record scans into 1,800+ scored, contactable leads.
The programs
Prefer to build this capability in-house?
Every system above started with a team that wanted leverage, not another vendor. If you want your own people running AI-native workflows, start with the programs:
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Start with a paid AI audit
We map your firm's workflows, identify where a system like these pays back, and scope the build before any larger commitment.