CREview Ep. 68
Why Commercial Real Estate Firms Need Better Systems
Josh and Dylan unpack what it really means for a CRE company to be digitally transformed: everyone thinking tech-first, AI connecting disconnected systems, and good data driving every decision.
Key Takeaways
Digital transformation means everyone in the company thinks in tech-first solutions, not just the IT department.
AI's biggest near-term value in CRE is linking disconnected systems together, not replacing them outright.
Good data is the foundation of good decisions—bad data leads to strategy that drifts from reality.
CRE has some of the weakest AI-visible content of any industry, leaving a real gap for firms willing to fill it.
Customer experience expectations are now set by companies like Amazon, not by other CRE firms—and prospects notice the gap.
Frequently Asked Questions
It means every employee, not just IT, defaults to solving business problems with technology instead of manual processes, and the company's systems and data are connected rather than siloed.
AI is currently most useful for connecting existing, disconnected software systems in a CRE business, automating workflows between marketing, leasing, and sales tools that previously didn't talk to each other.
Commercial real estate has historically had a slower rate of technology adoption than most industries, and currently has some of the lowest AI-generated content visibility, meaning AI tools have fewer credible CRE sources to draw answers from.
AI visibility refers to how often and accurately AI tools like ChatGPT or Claude can find and cite a company's content when answering industry-related questions, which depends on how much structured, AI-readable content that company publishes.
Very important, and increasingly a competitive differentiator, since prospects now expect the same frictionless digital experience from a CRE company that they get from consumer brands like Amazon.
Generally yes if the tool solves a real problem, since most SaaS tools are cancel-anytime and typically cost less than hiring an additional employee to do the same work manually.
Good data is the foundation for good decision-making; poor or incomplete data leads to strategies that drift away from what customers actually need.
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