AIM 2026: LLMs as the New OS: Preparing for Rent Payments in ChatGPT, Applications in Claude, and Renewals in Gemini

LLMs as the New OS: Preparing for Rent Payments in ChatGPT, Applications in Claude, and Renewals in Gemini

The panel brought together Christi Weinstein, COO of BH, and Michelle Moriello, VP of Marketing at Windsor Communities, to examine how consumer interaction with LLMs could reshape the renter journey. Both organizations view AI primarily as a way to supplement employees, eliminate repetitive work, reduce friction, and create better experiences.

That future is already becoming technically possible. BH participated in a proof-of-concept that allowed a resident to pay rent through ChatGPT, with the transaction successfully reaching the Yardi ledger. While not yet scalable, the experiment demonstrated how traditional property interfaces could eventually be replaced—or supplemented—by whatever AI environment the resident already uses.

Preparing for that future starts with operational fundamentals. Weinstein emphasized that AI quickly exposes fragmented workflows, poor integrations, and inconsistent data. Before operators automate a process, they need clearly defined procedures and reliable systems underneath it.

Windsor's centralization strategy provides another foundation. The company consolidated more than 150 individual community websites into one digital front door, creating greater brand consistency, cross-selling opportunities, and a stronger source of truth for both associates and renters.

Both speakers also emphasized optionality. Some residents will embrace fully digital interactions, while others still want to call and speak with a person. BH's AI-first contact center maintains a human escape route, allowing consumers to choose whether to complete a task with AI or transition to an employee.

As AI takes on more tasks, human roles must become clearer—not disappear. Employees need to understand exactly where AI stops and where human judgment, empathy, critical thinking, and relationship-building begin.

Key Takeaways

• Prepare for transactions outside your own interface. Renters may increasingly interact through ChatGPT, Gemini, voice assistants, or other AI environments.
• Standardize before automating. Fragmented processes and poor data become bigger problems when AI operates on top of them.
• Build a trustworthy source of truth. Accurate, structured, brand-consistent information becomes essential when AI interprets your organization for consumers.
• Preserve optionality. Give residents automation when they want it and access to people when they need it.
• Be careful with high-risk decisions. Application and screening workflows require compliance controls, auditability, and appropriate human oversight.
• Redefine the employee's role. Teams must know when to let AI work—and exactly when they are expected to step back into the customer journey.