AI advancements in property management
It’s amazing how much has changed in the last 30 years when it comes to property management software.
Maybe it’s a response to lack of qualified employees or maybe it’s just a response to software innovation in either case AI does create significant efficiencies for property management companies.
Software adoption in property management has increased from approximately 17 to 20% in 2024 to between 34% and 80% by early 2026 depending on the workflow being improved and kind of properties that are being managed. The most rapid adoption is in multifamily and short-term rentals with 85% of the users reporting improved lead to lease conversions and 77% seeing better renewal rates.
(https://www.appfolio.com/blog/top-property-management-trends/)
What’s motivating property management companies?
1. There are significant efficiency gains early adopters report saving up to 10 hours per employee per week.
2. 77% of the operators report moderate to significant reductions in operating expenses.
At this point in time many firms are still testing How to implement AI systems. This is not simple and it is typically driven by the software that the property management company uses for accounting and operations.
There’s significant learning curve and more often than not an AI hero or team needs to be assembled to evaluate and drive the AI progression. In addition, the management team needs to explain to employees how it will lighten their workload.
At this point in most property management companies’ employees are overloaded with tasks and an overflowing email inbox, especially as rent control compliance and additional laws and their compliance are being added to an already overwhelming workload. We expect that this means that employees might be open to reducing their workload.
Barriers to full adoption
The three biggest challenges to rapid increase in AI adoption are the following:
1. Only 28% of real estate firms had a formal technical training program in place as of 2025. (https://itbrief.com.au/story/only-30-of-firms-ready-for-ai-scale-despite-rising-investments)
2. 49% of industry leaders remain concerned about AI guardrails specifically regarding data privacy regulatory compliance and cybersecurity in addition to legislative and judicial issues regarding using AI for pricing residential rentals specifically. (https://www.heraldmailmedia.com/press-release/story/50195/ai-survey-shows-ubiquitous-ai-use-across-real-estate-brokerages-reports-delta-media)
3. Every company has different accounting software so property managers need to find their specific specialists in AI implementation to successfully speed up the
AI implementation process.
Typical AI workflows for property management companies
1. Leasing and Tenant acquisition flow: This includes automation of leasing tasks, lead qualification, tour scheduling and related follow up with alerts being shared with humans to create actions items. Many platforms support multilingual communication and integrate with SMS/email.
2. Rent pricing: Currently in use by larger property owners and property managers, AI rental pricing uses sophisticated algorithms to analyze vast sets of rental data available in the marketplace. Some argue that this maximizes rental income, others including the department of Justice allege that this is a form of price fixing.
https://www.stateside.com/blog/regulating-ai-rent-pricing,
https://www.theverge.com/news/801205/new-york-rent-price-fixing-ban-software
3. Maintenance and operations: From receipt of maintenance message to ordering work, issuing service calls and follow up regarding tenant satisfaction can be added to a maintenance flow. Additionally, AI predictive maintenance using IoT sensor integration can be used for real time data collection and decision making.
This quick monitoring process can prevent damage to equipment, especially in commercial property management applications.
4. Resident Experience and Retention: Platforms like Entrata, Appfolio, Yardi and other software developers have created virtual assistants that operate across chat, voice, email and text channels to handle inquiries and follow-ups automatically. The goal is to speed up responses to tenants and solve their problems without human interaction if possible 24/7.
They can automate the lease renewal process and use predictive analytics to optimize tenant retention. They can also create a function to solicit and post positive and negative tenant reviews and work to solve the negative review problems. The 2025 Renter Preferences Report shows that 41% of renters stay tenant if they are happy with their property management company.
(https://www.appfolio.com/blog/renter-preferences/)
5. Automated Tenant screening
Machine learning can review credit, rental history and income and behavioral patterns for rental evaluations. This reduces evictions and turnovers and can reduce evictions by up to 30%. (https://grok.com/c/0bd4262f-9ea6-4fc4-a238-7e6cf68517c0?rid=b7e07b52-08f0-4145-9194-2a0f410eb8d2)
6. Lease Abstraction
Some property management software uses AI to extract key lease clauses, monitor critical dates like renewals and options, and review for compliance. The biggest benefit is that a lease abstract can be prepared by AI in a few minutes, while a human could take hours. It’s a huge time saver.
Summary
AI is revolutionizing property management operations. Employees are overwhelmed and need help. Burnout is creating additional employee turnover. From overflowing in boxes to residential showings of vacant units, from tenant screening to maintenance response time, all these tasks can be streamlined with AI. Property managers that do not embrace this swift shift in the industry will be left behind. Now is the time to identify the key people that can help you update your workflows. You can always hire an AI implementation consultant to help streamline your implementation process if you need to.
https://www.propertymanagementconsulting.com/services/consulting-services/ai-consulting
https://eliseai.com/platform-overview
https://xcelacore.com/best-ai-consultants-developers-for-the-real-estate-industry/
Clifford A. Hockley is Principal Broker at SVN | Bluestone, as well as the managing member of Cliff Hockley Real Estate Consulting, LLC. As a Certified Property Manager & Designated Managing Broker, Cliff has 42 years of experience in the brokerage and management of Real Estate companies. Bluestone and Hockley Real Estate Services managed condominium associations, multi-family, and commercial properties in the greater Portland area. He was focused on running the company and involved with investment property brokerage. He worked with financial institutions, governmental agencies, private investors, and not for profit organizations. He also has vast knowledge in budgeting, organizational management, and building structures. His previous experience includes over five years in accounting, production supervision for a manufacturing company, and work for state agencies in California.
Cliff grew Bluestone and Hockley Real Estate Services into a 100 employee company that managed over 2 billion dollars of real estate assets before he sold the company in 2021. He also supervised a sales team of over 15 real estate brokers for over 35 years. His monthly newsletter, QuickFacts has over 2,300 subscribers. He has been involved in numerous real estate transactions that include industrial, retail, office, and multifamily properties. Cliff has also written a book called “Successful Real Estate Investing; Invest Wisely, Avoid Costly Mistakes and Make Money” published by Morgan James Publishing in 2019.
Cliff has successfully coached real estate investors and CEOs located throughout the United States since 2015. He has acted as a sounding board to help untangle knotty issues that need an experienced outside opinion. He guides leaders who find it is “lonely at the top” and need an experienced hand to help set a strategic direction, sort out operational problems and want to talk through challenging business decisions.
He has served as an adjunct professor at Portland State University from 2028 – 2021, teaching classes in: Intro to Real Estate, Basic Real Estate Finance, Property Management as well as Real Estate Investment Fundamentals. He has instructed hundreds of students and believes that substantial preparation and active student engagement are crucial for learning and appreciating the field of real estate. Students appreciate his candor and real-world experience.
Among his many civic activities, Cliff served on the Board of Directors for the Portland Chapter of the Institute of Real Estate Management (IREM) and the Rental Housing Alliance of Oregon. In 2014 he was recognized by IREM as board member of the year, and in 2015 he earned an achievement award in brokerage from SVN International. In the years 2000 & 2003, he was recognized by IREM as Certified Property Manager of the Year.
