AI Underwriting for Small-Balance CRE: Unlocking Institutional Capital and Scalable Passive Income

On this episode Mia Franklin interviews a former commercial lender turned AI founder who built an underwriting and asset-management platform that squeezes underwriting time, reduces vacancy risk, and unlocks institutional capital for small-balance commercial buildings. We unpack the structural capital gap in CRE, how ML models can standardize property-level cash-flow projections, and which asset data moves the financing needle. The conversation moves from tech architecture to real-world adoption: how to pilot AI in underwriting, build lender trust, and design asset-based financing that attracts private credit and family offices. Listeners will get a practical checklist for starting a pilot, contract questions to protect data and compliance, and concrete KPIs investors and operators should track. This episode gives owners, lenders, and investors an actionable blueprint to use AI for predictable cash flows, lower operating costs, and scalable passive income strategies—without needing a data science team on day one.