You already know AI is changing the industry.
The harder questions are much more practical.
These are the six questions we hear most from real estate leaders right now:
➡️ Where should we actually use it?
➡️ Which tools and applications are worth our time?
➡️ How are other organizations handling adoption, governance and change?
➡️ What can we automate today, and what still needs a human?
➡️ Where do LLMs end and agentic AI begin?
➡️ How do we move from isolated experiments to repeatable business value?
Practical AI was built to get those conversations out of the hallway and into the room.
You'll learn from practitioners working at different stages of AI adoption, then work through the same challenges with peers who are asking the questions that matter to your business.
This is a day designed to help you make better decisions about what comes next.
AI Adoption doesn't live in one department.
Neither does Practical AI.
This program is designed for leaders across the multifamily business who are responsible for evaluating, adopting or scaling AI.
Ownership & Investment
Portfolio strategy,
asset performance, underwriting, reporting and decision support.
Workflow Automations
Property operations, resident experience, maintenance, process improvement and workflow automation.
Marketing &
Leasing
Lead generation, content, personalization, leasing workflows and customer communication.
Data &
Technology
Platforms, integrations, governance, security, data strategy, automation and agentic workflows.
Executive Leadership
Investment priorities, organizational readiness, workforce implications, risk and business transformation.
Different responsibilities. One shared question: how do we turn AI from an idea into something useful? See how the day is structured →
AI Adoption looks different at every stage.
Practical AI meets you wherever you are in your journey.
Practical AI is organized around four stages of adoption, not job titles. Start with the stage that reflects where you are today, then move between conversations as your needs evolve.
EXPLORE
Where should we start our AI journey?
EXPERIMENT
What actually works for our organization?
IMPLEMENT
How do we make it part of the business?
MONETIZE
How does AI create advantage?
You’re evaluating AI’s relevance, identifying high-value opportunities and building the business case for where to start
You’re testing tools, applying AI to real use cases and identifying what works, what doesn’t and what scales.
You’re integrating AI into workflows and systems, driving adoption and building repeatable processes that deliver measurable results.
You’re moving beyond efficiency to create new value, improve productivity and build measurable competitive advantage.
The Practical AI promise.
Less prediction. More production.
We believe the most valuable person to learn AI from is someone who has actually tried to implement it. That means Practical AI is intentionally different.
