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Thesis Driven
Hosted By:

AI in Real Estate

APR
23
Thursday, April 23, 2026
12-3pm Eastern time
Zoom
Ticket Price
$
499.00
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About Event

A three-hour interactive workshop for owners, operators, and developers exploring how to use AI in the real estate sector.


Thursday, April 23: 12:00–3:00pm ET

​​The session will be recorded and shared with all participants.

​​About the Workshop

​​Over one 180-minute live session, you’ll get a clear, no-jargon explanation of how AI actually works—followed by a deep dive into real-world use cases across operations, development, and acquisitions.

​​We’ll examine case studies from companies like Camden, Invitation Homes, and Lennar, then focus on implementation: where to start, how to prep your data, and how to evaluate vendors. You’ll leave with a practical framework for applying AI in your business—plus tools to avoid the hype and focus on what matters.

​​Participants will receive post-course access to Circle, where we’ll share recorded videos, recommended tools, curated vendor lists, and implementation guides.

​​You’ll Learn How To:

​​Understand how AI actually works
Break down what modern AI is (and isn’t), including models vs. applications, agentic AI, and frameworks like HITL HOTL HOOTL

​​Explore real estate-specific use cases
See how AI is being applied to leasing, marketing, underwriting, site selection, construction monitoring, and more

​​Learn from real case studies
Camden’s use of EliseAI, Invitation Homes' collections and delinquency models, and Lennar’s AI-driven development workflow

​​Evaluate where AI fits in your org
Spot high-impact opportunities, assess data quality, and prioritize use cases that deliver ROI

​​Prep your team and systems for implementation
Understand what makes data “AI-ready,” how to choose vendors, and how to structure internal workflows for success

​​Stay ahead of what’s coming
Look beyond the buzzwords—explore what’s next in computer vision, NERFs, and the falling cost of custom software

​​The Workshop Will Cover:

​​What Is AI and How Does It Work?

  • ​​Evolution of AI and key model types
  • ​​What separates AI from automation and workflow tools
  • ​​Frameworks: agentic AI, HITL HOTL HOOTL
  • ​​Capabilities—and current limitations

​​AI in Operations

  • ​​Leasing automation (e.g. EliseAI), document abstraction
  • ​​Fraud detection, delinquency management, renewal likelihood
  • ​​Case Studies: Camden, Invitation Homes

​​AI in Development & Acquisitions

  • ​​Site selection, feasibility analysis, test fits
  • ​​Underwriting, construction takeoffs, interior design
  • ​​Code compliance and construction monitoring
  • ​​Case Study: Lennar

​​How to Implement AI in Your Org

  • ​​Evaluating which functions AI can enhance
  • ​​Assessing data quality and AI readiness
  • ​​Choosing platforms vs. point solutions
  • ​​Build vs. buy, vendor selection, and risk management
  • ​​Change management and team enablement

​​What’s Next for AI in Real Estate

  • ​​Computer vision and generative design
  • ​​Software cost collapse and automated coding
  • ​​Evolving roles and internal capability shifts

​​Format & Access:

  • ​​One live session: 180 minutes, with a break at the 90 minute mark
  • ​​Post-workshop access: Circle community with recordings, vendor lists, and implementation resources

​Frequently Asked Questions

​​Will students receive a copy of the materials?
Yes, all participants will receive workshop slides, case studies, and implementation tools.

​​I can't make this time—will a recording be available?
Yes. Recordings will be sent to all registered attendees, whether or not you attend live.

​​Do I need a technical background to attend?
Not at all. This course is built for business leaders—not engineers.

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Thesis Driven
Hosted By:
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Kamrin Klauschie
Smiling man with short brown hair and beard wearing a dark blazer and checkered shirt against a neutral background.
Brad Hargreaves