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Key Takeaways
- Predictive maintenance transformsfacilities from reactive cost centers into data-driven assets with measurablelifecycle and efficiency gains.
- Operational complexity is outpacingtraditional vendor models, making integrated services and real-time dataessential for performance.
- Building data unlocks hidden savings andresilience, turning facilities into strategic drivers of uptime, efficiency,and business continuity.
Transcript
Facilityoperations are becoming more complex each year. Electrification, smart buildingtechnology, and even the labor market has turned facilities into a source ofoperational risk. But, for those who think ahead, facilities are also a sourceof potential savings.
Asbuildings have become more technically sophisticated and as labor marketstighten, facilities have started emerging on the wrong side of the P&L.Downtime in a semiconductor lab, an HVAC failure in a corporate headquarterstrying to win employees back to the office, and passenger-heavy airports withpaper cleaning schedules are all real-world examples of facilities running anoperations model built for a different era.
For facility and operations leaders, the traditionalmodel is showing cracks. Multiple vendors, fragmented service data, andreactive maintenance schedules may have been the norm before technology enteredthe picture. Today, the rapid pace of those technology advances meanyesterday’s facility operations are showing cracks.
Complexity is increasing across environments
What makes a facility complex isn't just its square footage. It's the operational stakes, the 24/7 demands, and the regulatory environment surrounding it.
Today, operations now span:
- Multi-site portfolios across regions or countries
- 24/7 uptime requirements in critical environments
- Increasingly sophisticated mechanical, electrical, and digital systems
- Heightened expectations for energy efficiency and user experience
Airports can't stop. Data centers can't go dark. Life sciences facilities operate under regulatory requirements that treat a cleaning protocol as a compliance event. Semiconductor labs measure downtime in millions of dollars per hour. In these environments, facilities management becomes a continuity function.
At the same time, the traditional operational model built around discrete services and reactive workflows remains largely unchanged.
Eugenio Burnier, SVP of ABM Performance Solutions, says, "If you think about a facility, it gets older every day. It's actually more difficult every day to maintain the same level of performance. But the expectation is that we're not compromising performance by having cost savings."
The tension between maintaining and even improving performance while absorbing cost pressure is one of the biggest challenges for facility leaders right now. Wage inflation, skilled labor shortages, and increasingly technical building systems have made the old vendor-coordination model expensive to run and difficult to optimize.
From reactive to predictive: the real ROI of building data
Most facilities are structured around response. Maintenance follows fixed schedules. Issues are handled after they surface. Data is gathered after the fact and reviewed periodically. Decision-making is fragmented across vendors, systems, and teams.
As Ashley Bradarich, ABM Director of Business Development, puts it, “You go into work, and you’re expecting the day to go one way. It never does. There’s always a fire to put out.” That constant reactivity is the byproduct of a system that lacks real-time insight and coordinated control.
In simpler environments, that approach may still hold. In complex ones, it breaks down.
The evolution of maintenance strategy needs to shift from routine-based (visit the equipment on a calendar schedule) to proactive (prioritize based on risk), to where leading operators are now: predictive.
Predictive maintenance isn't about adding sensors for their own sake. It's about continuous intelligence on the systems that keep a building functional, aggregating mechanical, electrical, and critical infrastructure information in one place.
By integrating with building automation systems and running real-time analytics, facilities operators can monitor every critical point in a facility around the clock, something that can’t be replicated manually. The result isn't just fewer emergencies. It's a compounding advantage: equipment that runs correctly runs longer. The lifecycle gain on critical assets can reach 25% or more, which matters considerably when those assets represent millions of dollars in replacement costs.
The data also surfaces invisible inefficiencies. Simultaneous heating and cooling in the same zone—a common HVAC issue—can go undetected for months in a manually managed facility. In a monitored one, it's caught in hours. In one case, analytics-driven adjustments to building systems generated over $180,000 in energy savings in one year, without a single capital expenditure.
The potential doesn't stop at the building's edge. Burnier describes what this looks like when the data set expands: "The next evolution of technology is now looking at not only building systems, but our clients' systems."
In airports, that means integrating flight data, passenger flow, and baggage handling into facilities decisions, shifting staff in real time based on where foot traffic is actually going, not where it was scheduled to be. The facility starts responding to operations instead of running parallel to it.
The strategic shift: The future of technology and operations
Facility leaders increasingly recognize that complexity and technology demand better integration. Technology, data, and operations are part of the same system.
The new strategy requires:
- Services that are integrated under a single structure
- Data directly embedded into daily operations
- A shift from reactive to predictive maintenance
- The right training to support facilities management teams
The organizations getting ahead of this aren't waiting for their next vendor contract renewal to rethink the model. They're asking harder questions now: What does it cost, in real terms, to run fragmented vendor relationships across a complex portfolio? What performance are we leaving on the table by managing reactively? What would change if every building system generated actionable intelligence instead of maintenance backlogs?
The answers tend to move in the same direction: more integration, more data, more accountability for outcomes instead of activities.
The building is no longer just infrastructure. For the organizations that figure this out first, it becomes an asset that actively supports the business.
