Multifamily property management is undergoing a rapid shift as automation and artificial intelligence take over many routine functions once handled entirely by onsite staff. Leasing agents, property managers and maintenance teams historically managed every step of the resident journey, but automation is now streamlining lead management, scheduling and data processing so teams can redirect their time to resident-facing work.
Industry executives interviewed by ApartmentBuildings.com emphasize that technology is enhancing, not replacing, onsite personnel. Calynne Oyolokor, senior vice president of multifamily at FirstService Residential, notes that the strongest implementations are designed to reduce administrative burdens so teams can focus on resident experience, relationship-building and higher-value operational decisions.
According to Oyolokor, ownership and investment groups are increasingly prioritizing multifamily management technologies to curb operating expenses and improve efficiency. She points to growing adoption of platforms that integrate with staples like Yardi. Access control system Salto Space, which links to Yardi, helps automate building entry, operations and credential management, while EliseAI supports leasing by handling lead nurturing, tour scheduling and staff assistance outside regular business hours.
Data analytics is another major area of change. Jennie O’Leary Madsen, president of property operations for Apartment Management Consultants, says that automation and AI have dramatically shortened the time required to gather and organize property and portfolio data. Where teams once spent excessive time sourcing information, they can now concentrate on analyzing results and adjusting strategies for individual communities and portfolios.
Karlin Conklin, COO and co-president of Investors Management Group and Parktown Living, adds that analyses that formerly took a week can now be turned around in an afternoon, enabling faster trend identification and operational course corrections. She also observes that renters are increasingly using AI tools in their apartment searches, which means properties must be optimized for AI-driven discovery as well as traditional search engine optimization.
Despite these gains, executives consistently characterize AI as a tool that still depends on human expertise. Conklin highlights HVAC maintenance as an example: AI can create maintenance schedules, coordinate workflows, source parts and monitor delivery, but technicians remain essential for on-site diagnosis and repairs. Similarly, the data produced by AI systems requires experienced professionals to interpret findings, supply context and make strategic decisions.
For Oyolokor, the enduring value of onsite teams is rooted in relationships. Property managers and leasing staff are central to welcoming new residents, resolving complex or sensitive issues and building a sense of community, while maintenance teams reinforce trust through responsive, personalized service. She notes that strong resident relationships support satisfaction, which in turn underpins retention and long-term asset performance.
Madsen underscores that even as technology accelerates decision-making, people still determine how information is used and how residents are served. As automation tools continue to evolve, multifamily operators view their role as freeing teams to focus on what remains at the core of apartment management: human interaction and resident service.
