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    How We Built Our Own Proprietary AI for Underwriting

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    Off-the-shelf tools could not read the documents Will Curtis's team receives, so they built their own stack. He explains what had to be custom, what the model is actually doing to a rent roll and T-12, and where a human still signs off.

    • #ai
    • #underwriting
    • #commercialrealestate
    • #proptech
    • #privatelending

    From the full episode

    How Will Curtis Uses AI to Underwrite 25+ Commercial Deals in Minutes

    I'm like, I'm not going to spend a week and a half underwriting 25 properties because he hadn't closed on anything as of yet.
    Listen to the full episode with Will Curtis

    Frequently Asked Questions

    How does Will Curtis use AI in commercial real estate underwriting?
    He treats AI as another analyst on the team. Using Claude, he can underwrite 25 or more properties in a single afternoon, running each through the model with slightly different assumptions rather than waiting on one human analyst to work through the files sequentially.
    What research does AI actually do for his team?
    They pull demographics and psychographics for a market and have AI build out the likely profile of a tenant or business that would fit the building, then assess whether there is sufficient demand — front-loading the research that used to eat analyst hours.
    Does AI make the investment decision?
    No. Will uses it to accelerate underwriting and research; the judgment on which deals actually fit the operating style of the firm stays human — a lesson from his experience that deals which look great on paper but don't match your operations rarely perform.

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