Property management is undergoing a quiet revolution

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Property management is undergoing a quiet revolution. Tasks that once required human attention are increasingly being automated or at least considered for automation. Rent collection happens through online portals. Maintenance requests flow through apps. Access control uses smart locks and mobile credentials. Resident communication happens via chatbots.

The relentless push toward operational efficiency has touched nearly every aspect of multifamily operations, and property tours have become one of the most contested battlegrounds in this transformation.

Self-guided tours seemed like an obvious candidate for automation even before the pandemic forced the issue. The technology was straightforward. Smart locks allow prospects to access properties using temporary codes. Scheduling systems let potential renters book tours without coordinating with leasing staff. The process requires minimal infrastructure and delivers clear cost savings.

When COVID-19 made in-person interactions risky, many properties adopted self-guided tours out of necessity. What started as a pandemic workaround has persisted, with many operators discovering they prefer the efficiency of letting prospects tour properties on their own.

But a growing counter-argument suggests that automation may be optimizing the wrong metric. Property tours represent one of the few in-person interactions between prospects and leasing staff, a critical moment where personal connection and salesmanship can make the difference between a lease signed and a prospect lost.

The debate isn’t just about technology versus tradition. It’s about whether the efficiency gains from self-guided tours outweigh the potential conversion losses from removing human interaction.

Todd Kerr, Director of Client Services at Greystar, articulated the tension during a recent Propmodo webinar. “There are plenty of ways to automate the touring process but that doesn’t really work with many of the owners we work with, they expect us to be in front of the customer if possible,” Kerr said.

For institutional owners managing premium properties, the calculation remains that personal service justifies the cost. A leasing agent can read a prospect’s reactions, answer concerns in real time, highlight features the prospect values most, and apply sales techniques to close the deal. That human element, the argument goes, converts better than automation ever could.

Artificial intelligence is changing this calculation by making self-guided tours more sophisticated. Rather than simply providing access and leaving prospects to wander alone, AI-powered systems can provide interactive experiences that simulate some advantages of human guidance while preserving the efficiency of automation. Bella Campise, co-founder and CEO of Aigentless, argues that this technology addresses the primary weakness of traditional self-guided tours.

“Tours are important for helping people make the decisions but they are not usually where the conversions happen,” says Campise. “Our clients can spend more time on personalized follow-ups.” The insight challenges a fundamental assumption about why agent-led tours matter.

If most prospects don’t actually make leasing decisions during the tour itself, then the critical sales moment happens afterward, during follow-up. AI systems can handle the information-gathering phase of the tour while freeing agents to focus on the higher-impact work of personalized follow-up with qualified prospects.

The time cost of traditional tours becomes particularly stark when examined at scale. A typical property tour takes precious of an agent’s time, often more when accounting for preparation and scheduling coordination. Multiply that across dozens of tours per week, many for prospects who ultimately lease elsewhere or don’t lease at all, and the opportunity cost becomes significant. “You are sending someone out on a 45-minute tour to work with someone who is most likely not going to rent,” Campise said. “That is precious time away from the other work that they should be doing.”

For properties with dedicated leasing teams, this time cost may be acceptable overhead. But for smaller properties or those operating with lean staffing, the trade-off becomes unsustainable. AI-enabled self-guided tours allow these properties to offer convenient touring options without dedicating staff time to every prospect who wants to see a unit. The agent’s time can instead focus on prospects who’ve already toured and expressed serious interest, applying sales skills where they matter most.

The market segmentation becomes clear when considering property size and positioning. “The middle market often doesn’t have a leasing team so the people giving tours can instead work on other things, such as resident events,” Campise said.

For a 50-unit garden-style property with a single on-site manager responsible for leasing, maintenance coordination, resident relations, and administrative work, eliminating touring time creates capacity for activities that might have bigger impact on retention and satisfaction. Community building, resident events, proactive maintenance, and relationship management all suffer when staff spend hours each week conducting property tours.

The data collection advantage of AI tours represents another shift in the equation. Traditional tours generate minimal data beyond whether the prospect toured and whether they eventually leased. Agent-led tours may capture notes about prospect preferences or concerns, but this depends on agent diligence and rarely gets systematically analyzed. “Many people form their opinion about a property during the leasing process but it is a place where landlords have the least data,” Campise said.

AI systems can capture significantly more information about prospect behavior and preferences. Which units did they view? How long did they spend in each space? What questions did they ask? What features did they comment on positively or negatively? This data can inform both immediate follow-up strategy and longer-term decisions about unit finishes, amenities, and marketing positioning. Properties using AI tour systems gain insights into prospect behavior that would be impossible to collect manually at scale.

The technology also addresses a particular advantage of self-guided experiences over agent-led ones. Prospects may feel more comfortable providing honest feedback to an AI system than to a salesperson they know is trying to close a deal. Younger generations especially show comfort with digital interactions and may prefer the low-pressure experience of exploring a property on their own terms while having AI support available if needed.

AI can follow up with important questions about prospect priorities, budget constraints, move-in timeline, and decision factors. The responses might be more candid than what prospects would share during an in-person tour with an agent. This candid feedback makes follow-up more effective because agents know what actually matters to each prospect rather than guessing or relying on generic sales scripts.

The technology also provides consistency that human agents struggle to match. Every prospect gets the same information, the same tour quality, and the same level of attention from the AI system. Agent performance varies based on experience, training, motivation, and dozens of other factors. Some agents excel at tours while others merely go through the motions. AI ensures a baseline experience quality that never depends on which agent happens to be available.

The debate about self-guided tours ultimately comes down to context. Large, high-end properties with dedicated leasing teams and service-oriented positioning may rightly conclude that agent-led tours align with their brand and convert better for their target demographic. The cost of maintaining leasing staff is justifiable when competing for premium renters who expect premium service.

But for mid-market properties, value-oriented communities, and smaller buildings without dedicated leasing teams, the calculation looks different. AI-powered self-guided tours offer efficiency gains that free up staff for other high-impact work while providing data insights and follow-up capabilities that traditional self-tours lack. The technology doesn’t perfectly replicate what a skilled leasing agent provides during an in-person tour. But it may not need to, if most leasing decisions happen during follow-up rather than during the initial tour.

The industry is still learning how conversion rates compare between agent-led tours, traditional self-guided tours, and AI-enhanced self-guided tours across different property types, markets, and demographic segments.

What’s clear is that the automation of property tours isn’t simply a question of efficiency versus service. It’s a more nuanced question about how to allocate limited resources, where the critical moments in the leasing process actually occur, and whether technology can augment the touring experience in ways that justify removing human agents from the initial property viewing.

The answer likely depends on property size, staff capacity, target demographic, and competitive positioning rather than a universal best practice that applies across all multifamily real estate.

Source: Propmodo