NEXT Talk: What’s Now
Opening Session • Day One • All Attendees
NEXT Talk: What's Now
Day One 9:00 AM - 9:30 • Tami Siewruk
The Regulatory Reality: It's Already Here
AI regulations aren't coming. They're in effect. Right now.
Illinois HB 3773 and Texas TRAIGA went live January 1, 2026. Colorado's AI Act, the most comprehensive state AI law in the country, takes effect June 30. And Fair Housing enforcement isn't waiting for anyone to catch up. Real lawsuits are targeting screening algorithms and leasing chatbots today. Not hypothetically. Not eventually. Now.
Here's the thing: "The vendor told us it was compliant" will not protect you in court. Operators share liability with developers. Disparate impact is illegal even without intent. And every AI tool touching screening, pricing, or leasing communications falls under these laws.
This opening session gives you the regulatory landscape that affects your operations today. You'll know what to ask vendors, what to audit immediately, and how to build compliant AI governance before you're exposed.
No predictions. No buzzwords. Just what's real right now.
Then we build. The What's Now opening leads directly into your hands-on workshop.
The Multifamily Implementation Gap
85%
claim to understand AI
32%
have actually used it
6%
have implemented comprehensively
That's not an awareness gap. That's an implementation gap.
And traditional conferences aren't closing it.
The Challenge You're Facing Right Now
Your team is using AI. But not strategically.
AI adoption across multifamily is accelerating, but most companies are scaling tools before they've built fluency, identified risks, or established compliance frameworks. That's backwards.
Most teams default to one AI platform for everything. Not because it's the best option, but because it's familiar. The result? A fragmented AI environment where nobody can clearly explain why a tool is being used, what value it adds, or what risks it introduces.
Without a framework for AI selection and governance, here's what's happening inside your organization:
- ▶ Inconsistent outputs across properties and departments, because different models require different prompting approaches and nobody's standardized anything
- ▶ Software spend climbing without measurable productivity gains
- ▶ Operational risk from misuse, overuse, or misalignment of AI tools across teams
- ▶ Teams optimizing prompts when they should be building systems
AI becomes tactical when it should be strategic. This workshop changes that.
What You'll Build
This workshop equips you to make confident, informed AI decisions across your entire organization:
- ✓ Evaluate AI platforms by functional capability, not brand recognition
- ✓ Build a clear, defensible framework for AI tool selection across the organization
- ✓ Align AI usage with role-based responsibility: leasing, marketing, operations, leadership
- ✓ Reduce duplication, waste, and risk while improving output consistency
- ✓ Move AI from experimentation into governed, repeatable execution
Technical Skills You'll Build
- • Model-specific prompting techniques for every current platform
- • Extended thinking and effort parameters in 2026 models
- • Multi-agent orchestration strategies
- • Computer use capabilities and token context windows
- • Task-to-model matching so the right AI handles the right job, every time
The Outcome
You will leave with a structured AI operating framework that supports confident decision-making at scale.
Instead of asking "Which AI should we use?" your organization will know:
- ▶ Which tools belong where
- ▶ Which workflows are safe to automate
- ▶ Which require human oversight
- ▶ Which AI investments are ready to scale and which to pause
This is the clarity executives need to lead AI adoption responsibly, without slowing innovation or exposing the organization to unnecessary risk.
We don't teach AI as a tool.
We teach AI as an operating system.
Twenty years ago, companies started requiring Microsoft Office proficiency as a baseline job skill. Today, you wouldn't hire someone who couldn't use Excel or Outlook. The same shift is happening with AI. The operators who build fluency now will have a structural advantage. The ones who wait will spend years catching up.
Build AI Fluency. Establish Governance. Develop Skills. Create Working Tools. Implement With Confidence.