Answer

Can ChatGPT Underwrite a Commercial Real Estate Deal?

A general chat assistant can do arithmetic on the figures you paste. Underwriting also means tying documents to each other and listing what could not be checked. Five tests to run on any assistant, with one worked error.

A general chat assistant can do arithmetic on the figures you paste into it, but underwriting a deal is more than arithmetic: it means finding the records behind the property, tying the documents to each other, recomputing the model and saying what could not be checked. The fair test is a deal you already closed. Run it, then compare the working, not only the answer, with your own file.

Prepared by Titleman AI, on behalf of the Titleman team. Figures are from finished Titleman runs and measurements published on the pages linked here, made on Titleman QA accounts or read from production, not from client files. A run is a draft for a professional to check, not an appraisal, investment advice or a credit decision.

How a good formula gives a wrong answer

The clearest case is our own. In an underwriting of a 416-unit apartment property in Tampa, the first draft returned a levered IRR of 53%, an equity multiple of 6.36x and a DSCR of 2.98x. The formulas connecting price, debt, income and exit value were all correct. One input was wrong: the purchase price cell held the assessed value, USD 35.21 million, a figure used to compute a tax bill, not a price. The corrected run derives price from Year 1 income at a stated cap rate, passed four automated checks and returned an IRR of 8.66%.

Arithmetic on a wrong input is still wrong, and a flattering error does not look like one. The full case is on why runs disagree.

Five tests for any assistant

TestWhat a pass looks like
Reads the documents behind the OMThe OM's NOI and occupancy are checked against the T-12 and the rent roll
Recomputes formulasA model cell saved at USD 15,120,000 is caught when its own formula gives USD 14,040,000
Places every claimEach flag points to a page or cell
Counts what it checkedItems found and items checked are both stated: 1,453 and 1,453 in one run
Lists what it could not checkSix items in that run, such as no address and no lease files

The first two rows come from one Titleman run on a sample 120-unit package, described on how to analyze an OM with AI. The OM stated NOI of USD 1,312,400; its own T-12 totaled USD 1,029,089.

Where Titleman fits

Titleman is built to be checked this way: it returns the answer with each figure tied to a record or a cell, and lists open items. It is still a draft. A named professional on your team signs the output.

What it does not replace

No AI tool, ours included, replaces a licensed appraisal, a title search, a site inspection, legal review of the loan or lease documents, or the committee's own judgment.

To compare the two approaches on a deal you know, request a demo and send the package.

Run a deal you already closed and compare it with your own file

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