Most real estate deals do not need a full underwriting model on the first pass. They need a fast screen that answers one question:
Is this property worth more diligence?
A useful AI property report should not replace underwriting. It should compress the first 10 minutes of screening into a structured snapshot.
Start with realistic monthly rent. If rent is wrong, every downstream metric is wrong.
Taxes can reset after a sale. Insurance can vary widely by market, age, and risk.
Purchase price only matters after the financing assumption is applied. Down payment, interest rate, and loan term drive debt service.
A deal that only works with no vacancy and no repairs is not a deal. Conservative assumptions make the first-pass screen safer.
Cash flow is the fastest sanity check. Positive cash flow does not make a deal perfect, but negative cash flow needs a strong reason.
Cap rate helps compare the property to other income-producing assets. Cash-on-cash return helps evaluate the actual capital invested.
A grade is useful because it forces clarity. The goal is not to make the AI sound smart. The goal is to decide what to do next:
- pursue
- pass
- negotiate
- verify rent
- verify repair scope
- package as a listing or wholesale opportunity
A good first-pass report should include:
- deal grade
- rent and risk snapshot
- cash flow
- cap rate
- cash-on-cash estimate
- DSCR
- strengths
- risks
- listing copy or marketing summary
See a sample report here:
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