Educational Workshop: AI in Real Estate

About This Workshop

An interactive workshop for owners, operators, and developers exploring how to use AI in the real estate sector.

Over two 90-minute live sessions, 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.
 

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

Questions about the workshop?
View FAQs on format, access, recordings and more: FAQs

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