Condo Living

July 1, 2026 Published by British Columbia Chapter - By Mark Bush

AI In Strata Management: Separating Fact From Fiction In A Post-Hype Era

From CCI BC Strata Connection Magazine, Spring/Summer 2026

Artificial intelligence (AI) has rapidly entered the world of property and condominium management, promising to streamline operations, reduce costs, and improve resident satisfaction. From automated maintenance scheduling to predictive analytics, the potential applications are broad and compelling. Yet alongside these real advances lies a layer of hype, misunderstanding, and unrealistic expectations. To understand where AI truly fits in strata management, it’s essential to separate fact from fiction, and to consider the historical concept of an “AI winter,” a period when inflated expectations give way to disillusionment.

The Current Landscape of AI in Strata Management

Strata management involves a complex mix of administrative, financial, and operational responsibilities. Managers must coordinate maintenance, communicate with residents, enforce bylaws and rules, manage budgets, and ensure regulatory compliance. AI tools are increasingly being introduced to support these tasks.

Fact: AI Excels at Repetitive and Data-Driven Tasks

One of AI’s strongest contributions is its ability to automate routine processes and analyze large datasets quickly. In strata management, this translates into several practical applications:

• Maintenance optimization: AI systems can track equipment performance (e.g., elevators, HVAC systems) and predict maintenance needs, reducing downtime and costly emergency repairs.
• Resident communication: Chatbots and automated messaging systems can handle common inquiries, such as booking amenities or reporting issues, 24/7.
• Financial forecasting: AI can analyze historical expenses and usage patterns to help forecast budgets and identify anomalies.
• Security monitoring: AI-powered cameras and systems can detect unusual activity and alert management in real time.

These uses are grounded in current, proven technology and are already delivering measurable efficiencies.

Fiction: AI Can Replace Property Managers

One misconception is that AI will eliminate the need for human strata managers. This is unlikely. Strata management is deeply human-centric, involving conflict resolution, decision- making under uncertainty, and nuanced communication with residents and strata councils.

The Role of AI in Enhancing Decision-Making

Fact: AI Supports Better, Faster Decisions

AI can enhance decision-making by providing insights derived from data that would be difficult for humans to process manually. For example:

• Identifying trends in maintenance requests that point to systemic issues
• Highlighting inefficiencies in energy usage across a building
• Flagging financial irregularities or budget overruns early

These insights allow managers and strata councils to make more informed decisions.

Fiction: AI Decisions Are Always Objective and Accurate

There is a tendency to assume that AI outputs are inherently unbiased or correct. In reality, AI systems are only as good as the data they are trained on. Poor data quality, incomplete datasets, or biased inputs can lead to flawed recommendations.

For instance, an AI system trained on outdated maintenance data may fail to predict modern equipment failures accurately. Similarly, automated decision systems could unintentionally reinforce inequities if not carefully monitored.

"Human oversight remains essential."

Cost and Efficiency: Promise Vs Reality

Fact: AI Can Reduce Operational Costs

When implemented effectively, AI can reduce costs by:

• Preventing expensive repairs through predictive maintenance
• Reducing administrative workload via automation
• Optimizing energy consumption

These savings can be significant over time, especially in larger condo complexes.

Fiction: AI Is a Quick and Cheap Fix

Despite its benefits, AI implementation is not instantaneous or inexpensive. It requires:

• Upfront investment in software and infrastructure
• Integration with existing systems
• Staff training and change management
• Ongoing maintenance and updates

For smaller strata corporations, the cost-benefit ratio may not always justify full-scale AI adoption. In many cases, simpler digital tools (not necessarily “AI”) may provide sufficient value.

Resident Experience and Communication

Fact: AI Can Improve Responsiveness

AI-driven tools can enhance the resident experience by providing faster responses and more convenient services. Examples include:

• Instant replies to frequently asked questions
• Automated booking systems for shared amenities
• Real-time updates on maintenance or building notices

This can lead to increased resident satisfaction, particularly in larger buildings where manual communication is slower.

Fiction: Residents Prefer AI Over Human Interaction

While convenience is valued, most residents still prefer human interaction for complex or sensitive issues. Complaints, disputes, or urgent concerns often require empathy and nuanced communication that AI cannot provide.

Over-reliance on automation can even frustrate residents if it creates barriers to speaking with a real person.

The Shadow of the AI Winter

To fully understand AI’s role in strata management, it’s useful to consider the concept of the AI winter. Historically, AI has gone through cycles of intense enthusiasm followed by periods of disappointment when the technology failed to meet inflated expectations.

During past AI winters (notably in the 1970s and late 1980s), funding and interest declined sharply because early promises, such as fully autonomous systems, proved unrealistic.

Why This Matters Today

We are currently in a period of strong AI optimism, driven by rapid advancements in machine learning and generative AI. However, the risk of another “mini AI winter” remains if expectations continue to outpace practical results.

In strata management, this could manifest as:

• Overinvestment in AI tools that fail to deliver ROI
• Disillusionment among councils and managers after unmet expectations
• Abandonment of useful technologies due to poor implementation

Understanding the lessons of past AI winters encourages a more measured, realistic approach.

Best Practices for Effective AI Use in Strata Management

To avoid hype-driven pitfalls and maximize value, strata managers and councils should adopt a pragmatic strategy:

1. Start with Clear Problems, Not Technology
   Identify specific operational challenges—such as high maintenance costs or slow communication—before selecting AI solutions.
2. Prioritize High-Impact, Low-Risk Applications
   Focus on areas where AI has a proven track record, like predictive maintenance or automated communication.
3. Maintain Human Oversight
   Ensure that AI outputs are reviewed and validated by experienced professionals.
4. Evaluate ROI Carefully
   Consider total costs, including implementation and maintenance, and compare them to expected benefits.
5. Manage Expectations
   Avoid viewing AI as a transformative cure-all. Instead, treat it as a tool that enhances existing processes.

Conclusion: A Balanced Perspective

AI has a meaningful and growing role in strata management, particularly in automating routine tasks, improving data analysis, and enhancing operational efficiency. These are facts supported by real-world applications.

At the same time, the fiction surrounding AI—such as its ability to replace humans or deliver instant, low-cost transformation—can lead to misguided decisions and disappointment.

By acknowledging the lessons of past AI winters and adopting a realistic, problem-focused approach, strata councils and property managers can harness AI effectively without falling into the trap of overhype. In doing so, they position themselves not at the mercy of technological trends, but in control of tools that genuinely improve how their communities are managed.

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Mark Bush, CPA (State of Georgia), MBA, OLCM-L UpperBee Software – Vice President Business Development
More than four (4) decades of experience leading functions and enterprises in multiple disciplines, including general management, operations and business development (CEO/Executive/Partner), financial/IT audit, finance/accounting –most of which on strategic corporate initiatives, performance metrics and measurement systems. More than 21 years of experience in commercial & residential real estate management/development and IT systems over the last decade, with a specific focus on the condominium industry.