Manual underwriting and AI underwriting do the same job in different hands. In both, someone has to establish what the property is, read what the seller says about it, find the evidence outside the seller's package and reach a view on value or debt. The difference is who does the gathering, reading and first build. The decision to proceed stays with a person.
Published by Titleman, which makes one of the tools compared. Updated 19 October 2026.
The comparison at a glance
| Step | Manual | With AI underwriting |
|---|---|---|
| Property record | Analyst searches records and listings | Engine assembles it from its sources, with dates |
| Documents | Analyst reads the OM, T-12 and rent roll and ties them out | Engine reads and cross-checks them and lists mismatches |
| Comps | Analyst selects them by judgment | Engine selects by a stated rule; non-comparable rows labeled "reference only" |
| Model | Built or copied by the analyst | First build delivered as a live-formula Excel model |
| Review | Reviewer checks the analyst's work | Analyst checks the engine's sources and assumptions |
| Judgment | Human | Human |
What AI underwriting does well
- Assembling records from many places in one pass, with each item dated and sourced.
- Reading long documents and finding where two of them disagree.
- Producing a consistent first structure that a reviewer can mark up.
- Naming what was not found instead of filling it.
Where manual underwriting is still the standard
- Local knowledge that is not in any record: a landlord's reputation, a planned road, a building's real condition.
- Negotiation strategy and reading a counterparty.
- Assets so unusual that no comp rule fits.
- Anything a regulation or policy requires a named professional to sign.
The honest limit: repeatability
Software that uses language models can produce different answers on repeat runs. Titleman states this. Repeat runs of the same underwriting can return different figures, so one run is not a final answer. Only some parts of Titleman are deterministic, such as comps retrieval from its store and the passport. This is why the memo lists assumptions and the Excel shows every formula: a reviewer should challenge them, not accept a single run.
How to review any AI underwriting
- Tie the NOI to the T-12, and the rent roll to the T-12.
- Open every cited source and check its date.
- Check each comp against a real closed sale and read why rows were excluded.
- Change the key assumptions in the Excel and see what moves.
- Read the list of gaps. Missing information named as missing is a good sign; confident numbers with no source are not.
Time
Titleman's measured medians, request to delivered files, over the 30 days to 18 October 2026: comps about 18, value opinion about 45, underwriting about 58. We have no measured manual baseline, so no savings figure is given here.
What neither approach replaces
- A licensed appraisal where required.
- Title, legal, environmental and engineering diligence.
- The decision-maker.
Titleman's memo states no final price, loan amount or buy or sell verdict. To compare an AI underwriting with your own on a deal you know, request access.
Written by the Titleman team with AI assistance (Claude). Statements about other companies come from each company's own website or documentation, read on 19 October 2026, and are marked as theirs. Titleman competes with some of the products discussed here.