The multifamily market’s headwinds are well-documented. Rent growth is slowing. Investors want more from their operating partners. And staffing burnout is quietly compounding in the teams that keep everything running — leasing, resident communications, maintenance, and accounting. These aren't glamorous problems, but they're expensive ones. The operators who feel the strain most acutely aren't the ones who are behind on technology. They're the ones whose technology keeps them busy without making them better. That's the gap worth closing.
Where AI Actually Earns Its Keep
Leasing and resident communication have always been the first places operators look for AI wins — and for good reason. Lead loss, after-hours gaps, and manual follow-up are revenue risks hiding in plain sight. But the deeper issue is that leasing coordinators are spending most of their day on task-centric work like logging inquiries, scheduling tours, and sending follow-ups.
“These tasks aren’t high judgment, they’re just high volume,” says Cat Allday, VP of Product at AppFolio. “AI is not going to come in and replace that task, but it will absorb the coordination layer and allow team members to focus on the things they were hired to do, like building resident relationships, solving hard problems that require judgment, then driving real results for owners.”
Resident communication around lease renewals, payment delinquency, or other leasing questions follow the same pattern. The signal is clear, the response is repeatable, and the volume is high enough that without AI, something always falls through the cracks.
Maintenance requires constant triage to assess the urgency of a request, route it to the right vendor, and communicate the maintenance plan back to the resident. Every step of that process could be automated to some extent, as it has a clear signal that an intelligent system can read and act on.
Accounting and finance workflows are usually the last places operators think to automate, but possibly the highest-stakes. When agentic financial workflows absorb the heavy lifting of bill routing and budgeting, surfacing only exceptions for human review, everyone wins.
“Finance workflows are probably under-automated today because people are risk-averse and hesitate to deploy AI to handle financial data,” says Allday. “In reality, the manual process is actually quite error-prone, particularly when accounting teams are handling such a high volume of financial data.”
Agentic financial workflows can review 100% of line items and surface only the 8% that warrant human attention. That frees finance teams to deliver accurate reporting and portfolio insights, “An operating partner who can provide deep data, versus just reconciling the books, adds a lot more value and credibility to the business and its investors,” notes Allday. The platform is crucial, as it provides a centralized and comprehensive view of financial data.
Native AI Changes the Architecture, Not Just the Interface
These workflows offer opportunities to safely delegate complex, multi-step tasks to intelligent systems, reducing administrative noise and related burnout. As long as the system understands context and has the appropriate guardrails, it can handle high-frequency, repeatable decisions, and escalate appropriately when human judgment is required. This is more than automation – it’s agentic orchestration.
The key to fully leveraging agentic orchestration is to natively integrate a true conversational model rather than bolt it onto existing systems. Integrated chatbots can answer straightforward prospect questions in real-time, such as unit availability, current pricing, and lease terms, without redirecting to a human.
“Native AI systems also have more sophisticated communication, as they access the same data sources as the rest of the platform,” explains Allday. “It already knows if a unit is available without having to call out to an API, so the response time is much faster. It not only answers the question but takes proactive steps to open up opportunities for deeper conversation and develop a relationship with the prospect or resident. For example, making sure they follow up after the visit or offering a renewal at the appropriate time in the resident life cycle.”
When an operator is considering deploying agentic orchestration tools, the true measure of success is whether the technology improves operations beyond the human-orchestrated standard. What was the lead-to-lease conversion rate, the time it took to fill a vacant unit, or the number of after-hours maintenance requests the AI agent handled?
“AppFolio finds that vacant units are filled 5.2 days faster on average when RealmX flows for lead nurturing are deployed,” says Allday. “What’s important about that measurement is that it’s actual revenue improvement, not just productivity gain, because you’re filling the vacancy almost a week faster and bringing in rental revenue.”
Bridging the Performance Gap
There's a lot of talk in the multifamily industry about AI and operational efficiency, but as property management teams shift toward the discipline of Real Estate Performance Management (RPM), they should look beyond simply saving time on a task and aim to genuinely free teams to focus on higher-order business outcomes. This “performance gap” is the distance between the outcomes operators want to achieve and what their current technology allows. Closing this gap requires an AI-native platform that unifies interconnected systems of record, action, and growth into a single experience.
RPM and AI don’t just save time on a task. They change the very nature of these roles and shift how employees work throughout the day. Saving 20 minutes on a report doesn’t just drive efficiency; it enables the leasing agent to move from reactive follow-up to more proactive relationship-building.
This performance improvement is the distinction between task-based workflows and really driving business performance.
What's Next
AppFolio is deepening agentic AI across leasing, maintenance, accounting, and resident operations with new AppFolio Realm-X capabilities that shift more operational work onto the platform, giving teams back the capacity to focus on the work that actually moves the business. And the new Claude Connector means AppFolio customers can now run complex workflows directly through Anthropic’s Claude chatbot — converting more leads around the clock, closing the books faster, and moving residents in with less friction — all within a single platform, under the operator’s control. These innovations advance AppFolio’s vision for Real Estate Performance Management (RPM): where success is measured by the outcomes operators produce, not the tasks they automate.
Learn more here.
