Cap Orbit vs ChatGPT: What a CRE Underwrite Actually Requires

Credit where due

What ChatGPT does well on a deal team.

ChatGPT is the default assistant of the working world, most of your analysts already know it, and the Business plan prices at $20 a seat per month on annual billing with a two-seat minimum, cheap enough that everyone in the firm can have one. For drafts, summaries, quick questions, and the long tail of work that is not the deal in front of you, it is the right tool and the easy buy.

The 2026 product is broader than chat. ChatGPT for Excel builds, updates, and explains multi-tab spreadsheets from plain-language instructions. Deep Research runs long research jobs. Workspace Agents, launched in April 2026, automate recurring work across connected tools. On data, OpenAI commits by contract not to train on Business or Enterprise workspace data, holds the standard certifications, and on Enterprise offers data residency across ten regions and customer-held encryption keys.

If the question is whether your firm should have ChatGPT somewhere, the answer is probably yes. The question this page answers is narrower: what happens when the deal lands on it.

Where it breaks

Every figure needs a source.

Then broker materials land, and the tool meets a different standard. Third-party evaluators put it plainly: asking ChatGPT to build a real estate model produces something no IC committee would accept, and it carries no house conventions for tab structure or formula discipline unless someone types them in each time.

Extraction is the same story. Evaluators report low accuracy pulling financial data out of complex CRE documents, rent rolls and T-12s included, with significant manual correction before the numbers can be trusted. And the figures that do come back arrive confident, with no trace from a number in the output to the cell or page it came from. On a deal team an untraced figure is not an answer. It is a task, because someone now has to go find out whether it is true.

There is also no shared deal record in ChatGPT, only conversations and projects. No stages from screening to closing, no committee record, no tracking of actuals against the underwrite after the wire goes out. A team that builds all of that out of Workspace Agents is constructing a deal platform by hand, one prompt at a time.

Where Cap Orbit wins

A working model. A shared deal record.

Read the offering memo, rent roll, T-12, loan agreement, and templates together. One instruction can take raw documents to a memo ready for review, with approval at consequential steps. Rent roll figures trace to file, sheet, and row or page and reconcile with source totals. Build in a house model or your own template, checked against house formula standards. The analyst accepts before it writes. If research needs the web, watch the terminal browse and step in for sign-ins or paywalls.

Edit the workbook directly in Cap Orbit. Formulas recalculate as you type, and row insertions update references. Two analysts and the terminal can work in the same sheet. See and undo terminal revisions in the workbook you have open. Charts, pivots, and images survive the round trip.

Use your filed memos to guide the format and voice. Every figure comes from the model or a cited document. Approve IC and credit outlines section by section, then edit with Track Changes. Missing figures stay flagged. Use Ask the VP for a senior review before committee.

And the work does not end at the signature. Closing reconciles the settlement statement against the contract, the loan, and the underwrite, flags every variance with its cause, and writes the trued-up going-in basis back into the model. Finishing a phase copies a frozen, timestamped snapshot and leaves the working model live. Asset management then closes each period against the budget and the original underwrite, so the deal you manage stays the deal you approved.

Memory and isolation

Pick up the deal with its history intact.

ChatGPT starts from zero knowledge of your deal each session unless someone builds and maintains that context by hand. Workspace Agents can carry some of it, but the carrying is your team’s work, and nothing in OpenAI’s public materials describes a deal record for the team to work from.

Keep facts, parties, decisions, and feedback for the next session and teammate. Ask the terminal what it remembers. Sources, model versions, drafts, and sessions stay on the deal record. Each firm has its own database and storage. Enterprise runs in your AWS account with your SSO and keys.