Kris Kimmerle

Vice President of AI Risk and Governance, RealPage

As Vice President of AI Risk and Governance at RealPage, Kris ensures the responsible design and adoption of AI solutions for multifamily. He specializes in compliance, risk management, and governance frameworks that allow companies to innovate with confidence. Kris works closely with marketing and operations leaders to align AI tools with Fair Housing requirements, data privacy standards, and resident trust. His expertise positions him as a leading voice on how property management companies can balance innovation with compliance in an era of AI-driven marketing

2:30 - 5:30 PM

Wednesday March 18-Day 1

Executive AI Session

The Strategic Balance of Artificial Intelligence in Multifamily

AI now touches every part of the multifamily stack, from conversational agents to content workflows to analytics. At the same time, discovery is moving toward AI-powered answers and summaries, changing how prospects find and evaluate properties. This session focuses on what PMCs can put to work today: where AI creates measurable lift, how to optimize visibility in AI-driven search experiences, and how to build practical guardrails that keep teams efficient, compliant, and on brand. You will leave with lightweight scorecards, road-mapping prompts, and immediate next steps to take home. Key Takeaways:

Pinpoint AI use cases that improve lead quality, tour conversion, and resident satisfaction, and measure impact with clear KPIs.
Optimize for AI-powered discovery with structured data, content patterns, listings hygiene, review strategy, and onsite knowledge that feed answer engines.
Design an agent-ready workflow with the right level of human review, automation boundaries, and data stewardship.
Collaborate with technology partners using a simple evaluation rubric focused on outcomes, implementation needs, and proof of lift.
Build a 12-month AI roadmap covering pilots, procurement, enablement, and change adoption.

The session will unfold in three segments as follows: 2:30 PM- 3:30 PM Segment 1 The State of AI in Multifamily, One Year Later A concise tour of what changed and what counted. We will highlight task-specific agents, content and reputation workflows, lead handling, onsite knowledge bases, and portfolio analytics. Expect practical examples and an evidence-first scorecard you can reuse with internal teams and external partners 3:45 PM- 4:30 PM Segment 2 Found, Chosen, Trusted: Optimizing for AI-Powered Search Search is shifting from ten blue links to answers, comparisons, and chat results. This segment shows how PMCs can stay visible and persuasive as discovery routes through AI systems. Topics include:

Structuring property data for answer engines and marketplaces
Content that wins snippets, comparisons, and instant answers
Listings, reviews, and local signals that build trust signals models use
Onsite search that converts with clean taxonomy, FAQs, and a lightweight knowledge graph
Measurement tactics when clicks decline but consideration rises
Outlining current and future considerations for additional AI impact to renters finding homes

4:45 PM– 5:30 PM Segment 3: AI Leader Panel: From Pilot to Playbook PMC leaders and technology operators share where AI is delivering value, how they partner to validate outcomes, and what they are standardizing across portfolios. We will cover governance, fair-housing and brand guardrails, team training, and adoption. Soup-to-nuts, an overview of what you need to know on how to implement AI in your organization.