AI Reality Check: New CRE Field Report Reveals Everyone Is Talking and Few are Operationalizing

New field report finds overwhelming enthusiasm for AI, but only 5 of 17 commercial real estate firms have moved beyond chatbots and copilots

ORLANDO, FL, UNITED STATES, September 29, 2026 /EINPresswire.com/ -- Artificial intelligence in commercial real estate (CRE) is a bit like kissing in middle school: everyone is talking about it, but almost nobody is doing it.

Lots of chatter, but little action is one of the conclusions from AI in CRE: The Peer Intelligence Report, a new field report from Teammate AI examining how 17 midsized commercial real estate firms are approaching AI, where executives see the greatest opportunities, and why most firms remain stuck between experimentation and production.

Respondents rated AI an average of 8.5 out of 10 as a priority over the next 12 months. But only 30% of the firms reported production use beyond general-purpose chatbots and copilots.

Bigger firms are not necessarily further ahead

The report includes five anonymized firm stories illustrating sharply different approaches to AI adoption.

One lean owner-operator has already implemented multiple live workflows using primarily off-the-shelf tools. A smaller investment manager is connecting underwriting, document review, investment-committee preparation, and reporting. Another firm has widespread employee experimentation but no formal initiative, governance model, or firm-level ROI measurement. Meanwhile, a larger integrated platform remains primarily at the chatbot and copilot stage.
Ryan added, "Smaller firms can move remarkably quickly when they focus on a specific workflow. Operating ownership and focus drives adoption far more successfully than budget.”

CRE leaders want automation across the business

Demand extends far beyond acquisitions. Of the 17 firms surveyed:
• 15 expressed interest in finance or reporting automation
• 14 identified opportunities across property management, asset management, leasing, or internal operations
• 13 prioritized some form of deal-execution automation
Frequently cited opportunities included recurring financial reporting, data reconciliation, budget-to-actual analysis, portfolio performance reporting, lease-obligation tracking, invoice processing, work-order triage, investor communications, and administrative workflow coordination.

“The industry does not have an idea shortage,” Ryan said. “Executives can readily identify dozens of painful, repetitive workflows. The hard part is choosing one, giving someone ownership, connecting the right systems, navigating change management, and measuring whether anything improved.”

Executive enthusiasm alone is not enough

Leadership posture, expectedly, was strongly associated with whether a commercial real estate firm launched an initiative. Ten of the 13 firms whose leaders described AI as strategic or actively encouraged adoption launched one, but launching an initiative did not guarantee meaningful results. Just over half the firms with an initiative reported clear or strong returns in at least limited areas.

“An enterprise license is not adoption,” Ryan said. “AI becomes a real teammate when the same workflow is used repeatedly, employees trust it, and the business can point to a measurable improvement in throughput, reductions in errors, or alleviation of bottlenecks.”

A race is happening inside the deal workflow

Acquisitions, underwriting, and due diligence emerged as some of the strongest areas of interest. Thirteen firms identified at least one of those areas as an automation priority, while nine selected two or more stages of the transaction process.

Executives identified opportunities to automate activities such as:
• Extracting information from offering memoranda, rent rolls, leases, T12s, and data rooms
• Normalizing deal information and populating approved underwriting inputs
• Identifying missing, inconsistent, or potentially material information
• Supporting market research and comparable-property analysis
• Producing first drafts of investment memoranda
• Assembling investment-committee materials
• Tracking due-diligence requirements and workflow handoffs

Reviewing legal and compliance documentation

Ryan detailed, “One of the biggest opportunities is to connect the deal workflow—from OM, rent roll, and T12 intake through underwriting, diligence, and investment-committee review— all while keeping assumptions, exceptions, and investment judgment firmly in human hands.”
AI in CRE: The Peer Intelligence Report includes detailed findings, charts, workflow examples, anonymized firm profiles, and a practical executive action framework.

Read the report: crereport.teammateai.com

About Teammate AI
Teammate AI helps organizations identify, design, and operationalize artificial intelligence and automation opportunities. Its work focuses on turning emerging technology into practical, controlled workflows that improve organizational capacity, decision-making, and operating performance. Learn more at teammateai.com.

Terise Ryan
Valeo Consulting LLC
+1 614-323-7531
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