AI in Real Estate Workshop
A three-hour interactive workshop for owners, operators, and developers exploring how to use AI in the real estate sector.
Thursday, May 28 — 12:00–3:00pm ET
The session will be recorded and shared with all participants via Circle.
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 via Circle:
All participants will receive an invitation to join our private Circle community after the workshop concludes.
Within one week of the workshop ending, participants will receive access to:
Full session recordings
Slides and presentation decks
Tools, vendor lists, and implementation resources
Circle is where we host all workshop materials and continue the conversation. Members also gain access to a live, active community of real estate investors, developers, operators, and capital allocators to connect, ask questions, and continue the discussion beyond the session.
Frequently Asked Questions
Will participants receive a copy of the materials?
Yes. All registered participants will receive an invitation to join our private Circle community. Recordings, slides, models, and case studies will be uploaded within one week of the workshop ending.
I can’t make this time—will a recording be available?
Yes. All registered participants receive access to the recordings and materials via Circle, even if they cannot attend live.
Do I need a technical background to attend?
Not at all. This course is built for business leaders—not engineers.