Buyer's guide

Commercial real estate underwriting software

Commercial real estate underwriting software falls into three groups: spreadsheet models, dedicated underwriting platforms, and grounded AI workflows. The real choice is not which brand, but whether you want a tool you rent or a workflow you own. PSV builds on Claude by Anthropic so the model reads your actual deal documents, fills your template, and cites the source behind every number, and a person verifies it before committee. That way the analysis is checkable, and the workflow stays yours.

The landscape

Three ways teams underwrite today

01
Spreadsheet models
The default. Excel or Google Sheets models, often from a shared template or a firm's in-house standard. Total control and no per-seat fee, but every deal is manual data entry, and the model is only as current as the last person who touched it.
02
Underwriting platforms
Dedicated CRE software that centralizes assumptions, comps, and outputs. Faster than a blank sheet and good for keeping a team consistent, but you work inside the vendor's structure, pay per seat, and the logic behind a given number can be hard to trace back.
03
Grounded AI workflows
The newer category. A model like Claude reads the actual OM, T-12, and rent roll, fills your template, and cites the page behind each figure. Trustworthy only when it is restricted to your documents, required to show its sources, and verified by a person before the numbers reach committee.

The real decision

A tool you rent, or a workflow you own

Most software comparisons stop at features and price. The decision that lasts is about ownership. Rent a platform when you need a whole team on one structure tomorrow. Own the workflow when the advantage you want to build is yours to keep.

What you rent

A vendor's structure and update cycle
Per-seat pricing that scales with headcount
Logic you cannot always trace to a source

What you own

Your template, your assumptions, your rules
A source trail that lives with the deal
A workflow your team can run and adapt

What to require

What to require of any underwriting tool

Whichever category you choose, the same four requirements separate an analysis you can take to committee from one you cannot.

It works from your real documents, the OM, T-12, and rent roll, not from a summary you retyped
Every figure carries the page or line it came from, so any number is checkable later
The output arrives in your template and your format, not the tool's
The assumptions, the trail, and the data stay with your team, not locked inside a platform

This is how PSV builds CRE AI on Claude: cited truth as a system property, in a workflow your team owns. See the grounded approach in Claude for real estate underwriting.

Frequently asked

CRE underwriting software, answered

What is the best commercial real estate underwriting software?: There is no single best tool, because the real choice is between renting a tool and owning a workflow. Spreadsheet models give you total control at the cost of manual entry. Underwriting platforms give you consistency at the cost of working inside a vendor's structure. A grounded AI workflow reads your actual deal documents and cites its sources, and it is only as good as the discipline around it. Pick the one whose trade-offs your team can live with.
Can AI underwrite a commercial real estate deal?: AI can support underwriting: reading the offering memorandum, the trailing 12-month financials, and the rent roll, filling your template, and citing the source behind each figure. It should not replace the underwriter. A person verifies the citations and owns the go or no-go decision. The full workflow is on the Claude for real estate underwriting page.
Is there free commercial real estate underwriting software?: The closest thing to free is a spreadsheet model, either self-built or from a template. It carries no per-seat fee, but every deal is manual data entry and the model is only as current as the last person who touched it. Free tools also rarely keep a source trail, which is the part that makes a number checkable later.
Should I buy underwriting software or build my own workflow?: Buy when you need a whole team on the same structure tomorrow and the vendor's logic fits how you underwrite. Build, or have it built, when the durable advantage is a workflow your team owns, where the assumptions, the template, and the source trail live with you rather than inside a platform you rent.
How is AI underwriting different from traditional underwriting software?: Traditional software runs your typed inputs through fixed logic, so the output is only as good as what you keyed in. A grounded AI workflow reads the actual documents, extracts the figures, and can cite the page each one came from. That makes the first pass faster to check, but it only holds when the model is restricted to your files and required to show its sources, and when a person verifies the result.

Keep reading

Claude for real estate underwriting Best AI tools for CRE What is CRE AI?

Build the underwriting workflow you own

The CRE AI Institute, by PSV, teaches this grounded underwriting workflow on a real practice deal, with Claude reading the documents and citing its sources. 7-day free trial. $0 today. For a workflow built for your firm, PSV builds it with you.

Explore the Institute Have PSV build it

Commercial real estate underwriting software

Three ways teams underwrite today

Spreadsheet models

The default. Excel or Google Sheets models, often from a shared template or a firm's in-house standard. Total control and no per-seat fee, but every deal is manual data entry, and the model is only as current as the last person who touched it.

Underwriting platforms

Dedicated CRE software that centralizes assumptions, comps, and outputs. Faster than a blank sheet and good for keeping a team consistent, but you work inside the vendor's structure, pay per seat, and the logic behind a given number can be hard to trace back.

Grounded AI workflows

The newer category. A model like Claude reads the actual OM, T-12, and rent roll, fills your template, and cites the page behind each figure. Trustworthy only when it is restricted to your documents, required to show its sources, and verified by a person before the numbers reach committee.

A tool you rent, or a workflow you own

What you rent

A vendor's structure and update cycle
Per-seat pricing that scales with headcount
Logic you cannot always trace to a source

What you own

Your template, your assumptions, your rules
A source trail that lives with the deal
A workflow your team can run and adapt

What to require of any underwriting tool

Whichever category you choose, the same four requirements separate an analysis you can take to committee from one you cannot.

It works from your real documents, the OM, T-12, and rent roll, not from a summary you retyped

Every figure carries the page or line it came from, so any number is checkable later

The output arrives in your template and your format, not the tool's

The assumptions, the trail, and the data stay with your team, not locked inside a platform

This is how PSV builds CRE AI on Claude: cited truth as a system property, in a workflow your team owns. See the grounded approach in Claude for real estate underwriting.

CRE underwriting software, answered

What is the best commercial real estate underwriting software?

There is no single best tool, because the real choice is between renting a tool and owning a workflow. Spreadsheet models give you total control at the cost of manual entry. Underwriting platforms give you consistency at the cost of working inside a vendor's structure. A grounded AI workflow reads your actual deal documents and cites its sources, and it is only as good as the discipline around it. Pick the one whose trade-offs your team can live with.

Can AI underwrite a commercial real estate deal?

AI can support underwriting: reading the offering memorandum, the trailing 12-month financials, and the rent roll, filling your template, and citing the source behind each figure. It should not replace the underwriter. A person verifies the citations and owns the go or no-go decision. The full workflow is on the Claude for real estate underwriting page.

Is there free commercial real estate underwriting software?

The closest thing to free is a spreadsheet model, either self-built or from a template. It carries no per-seat fee, but every deal is manual data entry and the model is only as current as the last person who touched it. Free tools also rarely keep a source trail, which is the part that makes a number checkable later.

Should I buy underwriting software or build my own workflow?

Buy when you need a whole team on the same structure tomorrow and the vendor's logic fits how you underwrite. Build, or have it built, when the durable advantage is a workflow your team owns, where the assumptions, the template, and the source trail live with you rather than inside a platform you rent.

How is AI underwriting different from traditional underwriting software?

Traditional software runs your typed inputs through fixed logic, so the output is only as good as what you keyed in. A grounded AI workflow reads the actual documents, extracts the figures, and can cite the page each one came from. That makes the first pass faster to check, but it only holds when the model is restricted to your files and required to show its sources, and when a person verifies the result.