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AI use cases that actually work in Commercial Real Estate

Real workflows shared by CRE professionals, credited to the people who built them. Each one comes with a copyable prompt and a list of what to check before you rely on it.

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Five-step workflow diagram: capture screenshots of the sources and uses and proforma, load them into Claude in Excel, paste the rent roll and flag missing assumptions, supply the waterfall terms, then spot-check formulas.
Underwriting

How to Rebuild a Real Estate Proforma in Claude for Excel

One CRE investor used Claude for Excel to rebuild a sponsor's proforma and equity waterfall from screenshots and a rent roll in about 10 minutes. Here is how the workflow runs, a prompt you can copy, and what to check before you trust the numbers.

Credit: Leyla (@LeylaKuni) · Oct 19, 2026 · 6 min read

Latest use cases

Workflow by @ArdorJim: diagram of an AI chief of staff for a CRE brokerage. Box 1, one chief-of-staff persona named Donna over a team of admin agents. Box 2, a Claude skill library for listing pitch, OM, brochure, valuation and CRM admin. Box 3, an inbound lead scan that checks Gmail, matches inquiries to active listings and uses a dedup ledger. Box 4, a morning trigger monitor on a watchlist of owners and buildings. Box 5, content jobs: Google Alerts idea bank and daily LinkedIn posts in his voice.
Brokerage

Claude for Real Estate: An AI Chief of Staff and Skill Library at a CRE Brokerage

Claude for real estate at a CRE brokerage: one broker's Claude skill library for pitches, OMs and valuations, next to an AI chief of staff over admin agents.

Credit: @ArdorJim · Oct 19, 2026 · 6 min read
Five-step framework diagram for running AI bots like property management staff: find the work, write a job description, hire and train one bot per job, verify results with read-only bank access for money bots, then trust but verify.
Property Management

AI for Property Management: How One Property Manager Runs Grok Bots Like Staff

AI for property management: one broker runs 18 Grok Bots (2 more building) like staff. Hiring framework, job-description prompt, and checks.

Credit: @ChrisTwiggsPM · Oct 19, 2026 · 7 min read
Five-step workflow diagram for AI lease abstraction: start from a trusted lease abstract template, load the lease, amendments and exhibits, populate fields with section citations, request each exhibit on its own tab, then check rent, dates, options and recoveries.
Leasing

AI Lease Abstraction: Fill Your Own Lease Abstract Template With Claude or ChatGPT

AI lease abstraction: a retail acquisitions VP fills a vendor-built Excel template with Claude and ChatGPT. Workflow, prompt, and checks.

Credit: @ClarenceWongCRE · Oct 19, 2026 · 6 min read
Five-step workflow diagram for AI rent roll cleanup: connect the rent roll, map columns to standard fields, keep original values, separate vacant units and log ambiguous charge codes, then review a CSV-ready table and exception log.
Underwriting

How to Clean Up a Rent Roll With AI: A Copyable Prompt

Clean a messy rent roll with one AI prompt: map columns to a standard template, keep originals, separate vacants, and get an exception log.

Credit: @ZanirHabib · Oct 19, 2026 · 6 min read
Workflow by @kdoble: four-step diagram for checking AI spreadsheet analysis on a rent roll model. Step 1, the AI builds the model. Step 2, do not ask that same AI to check its own work. Step 3, run a separate checker in a fresh session, on a different model when possible, looking for extraction, categorization, formula, unit and reconciliation errors. Step 4, spot-check the output yourself before trusting it.
Rent Rolls

AI Spreadsheet Analysis in Real Estate: Five Errors to Catch Before You Trust a Rent Roll Model

AI spreadsheet analysis fails in five ways: extraction, categorization, formulas, units and reconciliation. A real estate investor's rule for checking it.

Credit: @kdoble · Oct 19, 2026 · 5 min read
Workflow by Ben Michel: four-step diagram for multifamily underwriting with Claude Cowork. Step 1, set up Cowork with one dedicated folder and approval before any file change. Step 2, walk it through the OM inputs cell by cell, such as the address in cell C11. Step 3, build the unit mix from the rent roll one column at a time and map T12 lines to standard categories. Step 4, save the session as a Skill so the next deal takes about 5 minutes.
Underwriting

Multifamily Underwriting With Claude Cowork: How One Investor Trained It on His Own Spreadsheet

Multifamily underwriting with Claude Cowork: one investor taught it his model from the OM, rent roll and T12, saved a Skill, and now fills it in 5 minutes.

Credit: @jbrenizer · Oct 19, 2026 · 6 min read
Workflow by @coleruudjohnson: four-step diagram for sourcing off market commercial real estate with AI. Step 1, build an aggregated database of every asset in your buy box from sources such as Reonomy or CoStar, hosted in a portal built with Manus. Step 2, pierce LLCs to find the real owners and run a three-phase skip trace: LLC, individual, business. Step 3, rank properties by physical condition from satellite and Street View images. Step 4, market to owners by phone and mail, following DNC and TCPA rules.
Deal Sourcing

Off Market Commercial Real Estate Deal Sourcing With AI: Buy-Box Database, LLC Owners and Condition Scores

Off market commercial real estate sourcing with AI: build a buy-box database, find the owners behind LLCs, skip-trace in three passes, rank by condition.

Credit: @coleruudjohnson · Oct 19, 2026 · 6 min read
Workflow by @matthewbarge: four-step diagram for building a real estate due diligence package with Grok Bot. Step 1, give it access to Google Drive. Step 2, it creates a diligence folder with subfolders for each item a buyer wants. Step 3, it fills gaps by gathering occupancy data and property photos through the in-app browser. Step 4, it audits the package from a buyer's perspective for gaps, conflicts and unnecessary information.
Due Diligence

Real Estate Due Diligence With Grok Bot: How a Seller Built the Buyer's Package From Google Drive

Real estate due diligence with AI: a seller had Grok Bot build buyer folders from Google Drive, fill gaps, then audit the package as a buyer. Steps and checks.

Credit: @matthewbarge · Oct 19, 2026 · 6 min read
Five-step loop diagram for reviewing a real estate underwriting model: start from a trusted proforma, Claude in Excel builds an audit tab, ChatGPT runs a brutal peer review for an institutional LP, the critique goes back to Claude, then iterate until a person signs off.
Underwriting

How to Review a Real Estate Underwriting Model With Claude and ChatGPT

Real estate underwriting review: Claude builds an audit tab, ChatGPT peer-reviews like an institutional associate, then back to Claude. Prompts and checks.

Credit: @Uclandru · Oct 19, 2026 · 6 min read
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