From Microsoft to Property Management How AI is Reshaping Landlord Operations

Written by:

Steve Marcinuk

Date:

11 Sep 2025

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The property management industry has long been criticized for its resistance to technological innovation, with many landlords still relying on outdated communication methods and inefficient processes. However, a new wave of technology-driven solutions is beginning to improve how property owners manage their investments, driven by entrepreneurs who understand the pain points firsthand.

Liat Arama, co-founder and CEO of Keasy.ai, represents this emerging trend of tech-savvy real estate investors building solutions to address industry inefficiencies. After transitioning from a career at Microsoft to real estate investing, Arama grew her company’s portfolio to 150 apartments in Washington State before launching Keasy to tackle what she saw as fundamental problems in property management.

“During this entire time, I kept asking myself, why is this industry stuck in the old ages? Why are we still using pen and paper? Why do we still talk on the phone to listen to the water flush in the apartment?” Arama explains. “The thing that annoyed me the most is, why are we still paying a percentage of our income for property management to just be there and answer the phone and send us messages?”

The Technology Gap in Property Management

The inefficiencies Arama identified are widespread across the industry. Maintenance requests that should take minutes often become multi-day communication chains among landlords, property managers, and tenants. These delays frustrate all parties, increase costs, and reduce tenant satisfaction.

Keasy’s approach uses AI to streamline these interactions. “Let’s start with the most basic exchange between the landlord and a tenant about the leaky faucet, or toilet. All we need is a picture, a description, things that an AI can collect and deliver,” Arama notes. “That entire communication that ends up being three days of back and forth can be condensed, be more efficient, and provide better service with compliance with any landlord tenant regulations.”

The platform operates on a flat-fee model of $35 per door per month, significantly undercutting traditional property management companies that typically charge 8-12% of rental income. Tenants receive 24/7 support through an AI bot backed by human oversight, while landlords maintain control over decision-making through detailed reporting and communication systems.

Generational Shifts in Technology Adoption

Generational changes are driving significant shifts in expectations. Arama observes that younger landlords entering the market have fundamentally different attitudes toward technology integration.

“We see younger and younger landlords entering the game, and they naturally come in with expectations,” she explains. “My kids, when I ask them, ‘Who do you believe? The doctor or the AI bot?’ they will say the AI bot knows better. We see a lot of the younger generation coming in and starting to take over the business, and they’re like, ‘Oh yeah, of course I’m going to put AI in my building.'”

This shift is creating opportunities for technology companies to gain traction in an industry that has historically been slow to adopt new solutions. The combination of younger property owners and improved AI capabilities is fueling innovation.

Leveling the Playing Field

A major impact of AI is democratizing access to institutional-level capabilities. Traditionally, only large property management companies could afford sophisticated systems for legal compliance, financial reporting, and maintenance coordination.

“AI gives everyone the institutional power,” Arama explains. “All of a sudden, talking to a lawyer is not that complicated. All of a sudden, getting that financial report take seconds. You will see more small groups with very few team members that control a lot more real estate because it requires a lot less manual work.”

This democratization could reshape the competitive landscape, allowing smaller operators to compete more effectively while maintaining lower overhead costs.

Regional Compliance Challenges

As Keasy expands beyond Washington State, the company is discovering significant regional variations in property management requirements. Regulatory differences between states create complex challenges for technology platforms attempting to scale nationally.

“There are states where the tenant is the boss, and there are states where the landlord is the boss,” Arama notes. “The entire communication, when am I going to follow up on rent, should I offer cash for keys, all of these delicate things require building a personal AI bot for every zip code in some levels.”

Navigating these requirements will give competitive advantages to those who avoid a one-size-fits-all approach.

The Human Element

Despite the push toward automation, Arama believes certain aspects of real estate will remain human-dependent. The complexity and financial significance of real estate transactions create natural boundaries for AI implementation.

“I think leasing should be fully automatic and robotic for the tenant. There’s no need for humans in that interaction, humans can only make it worse,” she explains. “But when people buy a house or real estate investment, they would still want humans. It’s a big investment. It’s not a $1,000 rent, it’s a couple of millions of dollars.”

This nuanced view suggests that successful property technology companies will need to balance automation with human oversight, especially for high-stakes decisions.

Market Demand and Growth

Demand for technology-driven property management solutions is increasing. Keasy has experienced rapid growth since launching, approaching $150 million in assets under management in Washington State within its first year, with a waiting list of potential clients.

“The majority of landlords that come to us are self-managed landlords that can no longer self-manage because the regulation is so complex and complicated,” Arama explains. “They don’t want to pay full price property management, but they also don’t want to handle certain aspects of the job.”

This trend suggests that regulatory complexity may be driving demand for professional property management services, especially those delivering institutional-level compliance at affordable prices.

Looking Forward

As the industry continues to change, the integration of AI and automation technologies appears inevitable. Companies like Keasy demonstrate that superior service at lower costs is possible by eliminating inefficiencies.

The success of these platforms will depend on their ability to balance automation and human oversight while navigating complex regulatory environments. For property owners, these solutions offer the promise of reduced costs, improved tenant satisfaction, and better compliance, all while maintaining control over their investments.

As Arama puts it, “What we really sell them is the control, not the trust. You make the decision, not me. I work for you. I’ll send you the picture, I’ll send you the invoices, I’ll send you all the information that’s available. You make the decision, I’ll execute.”

This approach, combining technological efficiency with owner control, may well represent the future of property management, offering an alternative to both traditional full-service management and the challenges of self-management in an increasingly complex regulatory environment.