Multifamily has entered a defining moment. AI is no longer an experiment – it is becoming operational. During NMHC’s OPTECH 2025, leaders didn’t discuss hypothetical use cases; they showcased live deployments, automation wins, and the next wave of agentic innovation taking shape across leasing, operations, compliance, and portfolio performance.
But the most important insight was also the simplest: Multifamily AI will only scale on a strong data foundation.
The industry is moving quickly, but AI cannot outrun disconnected systems, inconsistent definitions, or missing governance. Performance now depends on whether organizations can unify data, align meaning, and establish trusted operational truth.
This shift marks the industry’s transition from discussion to execution.
For years, modernization conversations centered around potential. This year, OPTECH made one trend undeniable; operators are now executing.
The narrative changed in several important ways:
Multifamily is gaining speed, but execution only succeeds when the underlying data is consistent, governed, and interoperable.
OPTECH’s candid discussions pointed to a systemic truth that most AI failures aren’t model failures at all. They are actually data failures. To that, the industry still grapples with:
Fragmentation is not a small inconvenience – it is the largest structural barrier between multifamily and AI-scale operations. And, it’s why industry focus is shifting toward standards and governance together.
One of the most consequential developments unveiled at OPTECH 2025 was the Real Estate Technology and Transformation Center (RETTC)’s first-of-its-kind AI Governance Framework – the industry’s boldest attempt yet to align innovation with operational integrity, consumer protection, and housing affordability.
Developed by a cross-sector working group of operators and technology partners, the framework outlines how AI can and should be deployed responsibly across rental housing. The principles – Fairness, Transparency, Privacy, People-Centered Governance, and Accountability – reflect the increasing complexity of automation and the rising expectations placed on operators.
As Kevin Donnelly, RETTC’s Executive Director & Chief Advocacy Officer, emphasized:
“We can’t solve the nation’s housing challenges with yesterday’s tools… Our new AI Governance Framework provides a roadmap for housing providers and their technology partners in developing, deploying, and using these technologies responsibly.”
This framework is a recognition of two things:
But governance frameworks only work when the underlying data is accurate, standardized, understandable, and interoperable.
Which brings the conversation directly to standards.
OPTECH 2025 underscored that data standards have become core modernization infrastructure.
The clearest example is fee transparency, now reshaping compliance, pricing, marketing, and leasing outcomes.
In the NMHC + RETTC “Nuts and Bolts of Fee Transparency” workshop, leaders from Greystar, Bozzuto, Hudson Cook LLP, Cherre, and PMx Partners demonstrated how evolving regulations require better semantic alignment and clearer communication.
Greystar’s results illustrate the impact:
As Greystar noted:
“Transparency builds trust, improves decision-making, and strengthens brand credibility.”
Supporting this shift is MITS 5.0, which:
But the industry’s reality remains that most operators have hundreds of bespoke fee codes. To accelerate modernization, Cherre and RETTC jointly launched a free AI-powered fee-mapping tool, converting unstructured fee data into MITS 5.0 standards – turning a compliance requirement into operational clarity.
Standards are no longer supplemental – they are strategic.
Across OPTECH sessions, operators demonstrated a more sophisticated view of AI:
In the next 3–5 years, multifamily leaders expect:
Even robotics – shown lightly – reinforced the reality that automation multiplies the volume, variety, and velocity of data operators will need to govern.
Which is why the conversation naturally evolved toward ontology.
Ontology is not abstract. It is the foundation of reliable real estate data – and, by extension, reliable AI.
Ontology defines:
Without shared meaning, operational truth splinters across systems. Consider the simple question: “What’s our actual portfolio occupancy?”
Without ontology:
The outcome is ambiguity – and ambiguity slows execution.
With unified ontology:
Ontology is the unseen force behind every operational metric – and the enabling layer for agentic AI.
At OPTECH 2025, Cherre introduced the Cherre Data Mart, an immersive, walk-through installation designed to make one of multifamily’s most important concepts – ontology – immediately intuitive.
Attendees moved through a conceptual “store” where categorization, pricing logic, and relationships behaved exactly like multifamily data does in real operations. As participants navigated the space, they experienced firsthand how inconsistent definitions create friction – and how standardized meaning produces clarity.
The reaction was universal: seeing ontology in action made its operational importance unmistakable.
Multifamily is stepping into the AI era with clarity, urgency, and unprecedented momentum. But AI will only be as strong as the foundation beneath it.
Execution now requires:
Cherre has spent nearly a decade building this foundation – turning fragmentation into structure, and structure into intelligence.
The organizations that will lead the next decade of multifamily performance will be those whose data is ready to power AI at scale.
Connect with our team to assess your data foundation and operationalize AI with confidence.
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91% of mid-market companies have adopted generative AI, yet 92% encountered challenges during rollout. A small group of teams are quietly solving the foundation problem to pull ahead.
Multifamily has entered a defining moment. AI is no longer an experiment – it is becoming operational. During NMHC’s OPTECH 2025, leaders didn’t discuss hypothetical use cases; they showcased live deployments, automation wins, and the next wave of agentic innovation taking shape across leasing, operations, compliance, and portfolio performance.
But the most important insight was also the simplest: Multifamily AI will only scale on a strong data foundation.
Whether through direct integration, managed software instances, or intelligent extraction tools, adopting a modern data strategy is the only way to move from managing by hindsight to leading by foresight.
