Why AI Hallucinates When You Underwrite (And How to Fix It)
There’s a persistent misconception in commercial real estate that AI errors are random. In reality, most issues stem from how inputs are structured. If you want to prevent AI underwriting hallucinations CRE, you need to understand that AI doesn’t actually “hallucinate” the way people think it fills gaps when assumptions are missing. Small prompt changes […]
Build a Broker Opinion of Value with AI in Under 20 Minutes
AI workflows commercial real estate are quickly shifting from experimental tools to essential systems that drive how deals get analyzed, packaged, and executed. Across the industry, brokers, analysts, and investment teams are realizing that traditional, manual processes can no longer keep up with the speed and volume of modern deal flow. From underwriting and due […]
How We Use AI to Turn Raw Financials into Clean Underwriting Models
AI underwriting models in commercial real estate are changing how deals get analyzed. For years, underwriting has been slow, manual, and dependent on spreadsheets. Teams spend hours cleaning data before they even start modeling. Now, that process is shifting. Instead of working through messy files line by line, AI underwriting models in commercial real estate […]
How We Use AI to Compare Multiple Deals Side-by-Side in Commercial Real Estate
Commercial real estate moves fast, and AI deal comparison in commercial real estate is becoming essential as new deals show up every day, each with its own numbers, assumptions, and risks. For most professionals, the challenge is not finding deals; it’s comparing them properly. Traditionally, this process takes hours. You open multiple spreadsheets, review long […]
How to Build a CRE Acquisitions Underwriting Workflow with AI
I spent a full session building an automated system that takes an offering memorandum and produces a full underwriting package. This AI acquisition underwriting workflow guide explains how it works and how you can build one yourself. The system creates: A completed underwriting model A recommended purchase price A full investment committee memo It runs […]
How to Screen Multiple CRE Deals at Once with AI
Acquisitions teams have a throughput problem. You get 10 OMs in your inbox on Monday morning, but your analyst can only underwrite a few deals per day. As a result, opportunities go stale before you even review them, which is exactly the problem parallel AI deal underwriting is designed to solve. Instead of processing deals […]
How to Write AI-Ready Acquisition Criteria for Multifamily Deals
Most AI underwriting attempts fail before they even start. The prompts are vague, assumptions are scattered, and key inputs often live in someone’s head. As a result, even an AI underwriting criteria document is often missing or incomplete, causing tools to generate generic outputs that do not reflect how deals are actually evaluated. This is […]
How to Build Repeatable AI Workflows in Excel with Shortcut Skills
The biggest frustration I hear from CRE professionals using AI in Excel is inconsistency. You can run the same deal twice and get completely different outputs. However, an AI underwriting skills workflow solves this by standardizing how every deal is analyzed and formatted. Instead of unpredictable results, you get consistent models every time. The Problem: […]
Claude Code for Due Diligence
Claude Code due diligence on a multifamily deal involves dozens of documents, hundreds of data points, and hours of analyst time. I took a real DD folder, fed it into Claude Code, and got a complete underwriting package in minutes. Here’s exactly how I did it, what the output looked like, and where the workflow […]
How to Build AI Underwriting Skills in Manus
If you’ve ever used AI underwriting for CRE to evaluate a deal, you’ve probably seen the problem. The output looks different every time, with tabs, formatting, and assumptions changing across Excel models. You can’t compare deals side by side when every Excel file is a one-off. I run the AI for CRE Collective (540+ members […]