How Property Services Businesses Are Using AI

Across housing, facilities management, and maintenance, AI turns information into action. Building systems now learn how people use space, how weather affects energy use, and how quickly assets wear down.

The balance between technology and people is at the core of the AI revolution, so we looked at how the professionals within Property Services are elevating their roles:

Smarter Property Operations Through Data and Automation

Every building produces valuable data. Smart sensors measure energy use, water, air quality, and occupancy. When connected to an AI platform, that data helps managers understand exactly what’s happening and what needs attention.

In property management, platforms such as MRI Software and BuildingMinds pull together rent, maintenance, energy, and performance data into one place.

This cuts admin time and reduces the risk of human error. It also gives managers a clear overview of costs, compliance, and sustainability across all their buildings – at ease.

Facilities Management tools like PlanRadar and Facilio helps plan cleaning, servicing, and repair work more intelligently. For example, instead of fixed schedules, tasks can be based on actual building use or seasonal demand.

The payoff is clear:

• Faster response times and fewer missed issues.
• Happier tenants and more reliable service.
• More time for staff to focus on people rather than paperwork.

This technology doesn’t just make operations smoother, it makes them smarter, using evidence rather than assumptions to guide action.

Predictive Maintenance and Risk Prevention

When it comes to the world of maintenance in property services, data can be used to spot problems before they happen – known as predictive maintenance.

Learn more about the types of maintenance in property services >>

Predictive maintenance uses data to stop problems before they happen. By analysing how equipment performs over time, AI can spot early signs of wear and take preventive action.

How does this benefit my property services business?

Deloitte’s research shows predictive maintenance systems can improve productivity by up to 25%, reduce breakdowns by 70%, and cut maintenance costs by 25%.

Certain AI tools are already putting this into practice:

• BrainBox AI uses real-time data to manage heating and cooling, reducing faults and energy use.
• IBM Maximo helps large property portfolios track asset performance and schedule servicing automatically.
• AkitaBox maps building condition so that repairs and replacements can be prioritised effectively.

Whether maintaining a lift, boiler, or fire door, predictive technology helps teams plan resources, extend asset life, and reduce emergency callouts. It also supports sustainability goals by cutting waste, energy use, and unnecessary parts replacement.

When maintenance is smart and planned rather than reactive, buildings become safer, greener, and more cost-efficient.

Looking for maintenance staff? Contact Us >>

Enhancing Compliance, Safety, and Sustainability 

AI is also transforming how organisations meet strict legal and safety standards.

With new requirements under the Building Safety Act and Awaab’s Law, compliance can no longer rely on spreadsheets or paper trails.

Learn more about Awaab’s Law >

AI helps by automating inspection records, managing reminders for safety checks, and producing full audit trails for regulators.

Tools such as FireMate by Nimbus handle fire safety reporting from inspection through to remedial action. InfoGrid by Noda.AI uses sensors to monitor temperature, air quality, or dampness, instantly flagging risks to teams before they become serious.

AI can also support sustainability efforts.

Smart energy systems reduce consumption when a building is underused. Water and waste tracking tools highlight inefficiencies and help organisations move toward net zero goals.

These technologies build trust, improve accountability, and ensure that buildings stay safe, compliant, and environmentally responsible.

Building Property Services Teams That Work with AI

While technology is important, skilled professionals remain essential.

AI makes their jobs more efficient and satisfying, but it also changes what skills are needed.

The property services sector needs candidates like:

• Data-aware property managers who can interpret building performance dashboards.
• Maintenance engineers who can act on predictive insights from digital tools.
• Compliance officers who understand both regulation and technology.
• Facilities Managers with technical know-how to monitor and review tools.

This is new to everyone, so training and recruitment are key.

Many are investing in upskilling existing staff to be more digitally confident. Others are adding specialist roles focused on data and building analytics.

This is where Daniel Owen can help find, train, and place people who can bridge traditional property services jobs with modern digital demands.

Building teams that understand both people and technology ensures AI delivers lasting value, not short-term novelty.

Get in touch with our property services team >>

Ethical and Governance Considerations

How to use AI ethically in housing & property services 

As AI becomes more common, responsible use must be part of every business plan.

Data security, tenant privacy, and transparency matter, especially within social housing and public sector property.

Organisations need clear policies about what data is collected, who can access it, and how it’s stored.

Regular audits and explainable AI tools help ensure every decision, from energy optimisation to compliance reporting, can be understood and justified.

By keeping governance simple and open, property teams can gain the benefits of AI while protecting the trust of residents and stakeholders.

When AI Should be Adopted for Property Services 

How can you know if AI adoption is bringing measurable gains?

• Efficiency: Automated processes mean faster responses and fewer errors.
• Cost savings: Fewer breakdowns and better energy use add up to significant savings.
• Safety and compliance: Automated logging and alerts reduce the risk of missed inspections and time saved on the ground.
• Sustainability: Reduced emissions and waste support net zero commitments.

These are outcomes that directly improve tenant satisfaction, regulatory performance, and operating margins. When data is used well, decision-making becomes quicker, clearer, and more accurate.

How can you implement AI into your property services business?

Many organisations are keen to explore AI but unsure where to begin.

A few simple actions can start the journey:

1. Assess your data – what information do you already collect, and is it accurate?
2. Start small – pilot an AI system in one building or process, such as energy monitoring or maintenance scheduling.
3. Engage your teams – involve them early, show how tools make their jobs easier, and listen to their feedback.
4. Plan for training – build digital skills across your workforce, not just in specialist roles.
5. Review and expand – measure impact and roll out AI where it delivers the greatest benefits.

With careful planning, AI adoption can be smooth and cost-effective, especially when paired with the right recruitment and development support.

Hiring Property Professionals

AI is transforming property services from the ground up. Creating safer, more efficient, and more sustainable buildings by combining data with human know-how.

The next generation of property professionals will need both technical awareness and people skills.

With the right talent strategy, guided by partners who understand these sector shifts, organisations can make AI a genuine ally in delivering excellent homes, workplaces, and communities.

With the right skills and forward thinking, AI will help the property services sector build a safer, greener, and more responsive built environment for the future.

Hire Property Services Professionals >>

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