Future AI tools every CRE firm should watch

Future CRE AI tools are changing how commercial real estate firms handle underwriting, research, leasing, reporting, and daily operations. Deals move quickly, markets change often, and clients expect faster insights and communication. Because of this, more CRE firms now use AI to improve productivity and make better decisions. That shift is happening across the industry. […]
When to Use AI on CRE Contracts (and When You Absolutely Shouldn’t)

AI has become extremely capable at handling legal-adjacent work in commercial real estate. Tools like Claude inside Microsoft Word can redline a 15-page LOI in minutes. Platforms like Pulse can summarize massive lease documents almost instantly. Manus can draft counter-offers faster than most junior associates. The real edge, however, comes from building a reliable AI […]
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: […]