Five years after the pandemic upended where and how office work happens, companies are still figuring it out. Return-to-office mandates have come and gone. Hybrid schedules have been adjusted and readjusted. Some organizations have pushed for four days in the office, others have settled into a two or three day rhythm, and others are still navigating the internal politics of a workforce that has strong and divergent opinions about where it does its best work. 

What has become clear through all of that adjustment is that the organizations managing hybrid work most successfully are not the ones that found the right policy and stuck to it. They are the ones that built enough flexibility into their operations to keep adjusting as conditions change.

That lesson has not been lost on the people responsible for the physical environments where that work happens. The pandemic was the most dramatic demonstration in recent memory that the nature of office work can change faster than the buildings housing it were designed to accommodate. And if the pandemic was one forcing function, AI is shaping up to be another. 

The tools that AI is bringing to knowledge work are changing what tasks need to happen in a shared environment versus independently, how teams collaborate, and how frequently people need to be in the same place at the same time. The organizations that will navigate this transition most effectively are the ones that have designed flexibility into their workspaces rather than optimizing for a static model of how work happens. 

“Buildings and work used to be designed to work with static schedules – same heating, same cleaning, regardless of who’s in,” said Sam Walton, Industry Growth Manager for Hybrid Buildings at Mitsubishi Electric Iconics Digital Solutions. “Once a building can actually sense and adapt, that waste reduction is enormous. We’ve seen up to 30% off energy and 24% off HVAC just by letting the building respond to how it’s really used, instead of a fixed timetable.” “

Hybrid work demands more adaptive buildings 

Upgrading a building to support that kind of dynamism requires both hardware and software working together. Sensors that track occupancy, air quality, temperature, and energy consumption in real time give building management systems the inputs they need to respond to conditions as they change throughout the day rather than running on schedules set weeks in advance. 

A floor that is half-empty on a Wednesday afternoon can have its HVAC dialed back automatically. A twenty-person boardroom that never hosts more than six gets flagged as a space working at a fraction of its potential. . A common area that fills up at certain times but sits empty at others can be programmed to shift its environment to match. 

The building becomes a responsive system rather than a static container, and that responsiveness is what allows it to serve the unpredictable rhythms of a hybrid workforce rather than fighting against them.

Smart buildings require continuous optimisation 

The technology that enables that responsiveness is only as good as the discipline applied to maintaining it. Software that is well configured at installation and then left alone tends to drift. Rules that made sense when the building was first occupied may no longer reflect how the organization actually uses the space. Integrations between building systems and workplace management platforms can degrade as platforms are updated and APIs change. 

The result is a building that appears to be smart but is actually running on stale assumptions, and stale assumptions in a building management system can mean energy waste, poor occupant experience, and a widening gap between what the technology was supposed to deliver and what it is actually doing. 

“How do you make sure a building performs like it is designed to perform for its whole lifecycle?” Walton said. “Most smart buildings are smartest the day they’re commissioned and quietly decay from there.”

That framing captures a challenge that many building owners underestimate when they invest in automation. The technology is not a one-time installation. It is an ongoing operational commitment. 

From building data to operational decisions  

The data that smart building systems generate is only valuable if it produces actionable insight, and the gap between the two is where many organizations get stuck. Buildings are collecting more information about how their spaces are being used than at any previous point in history, but the organizations occupying those buildings often have limited visibility into that data and even more limited ability to translate it into decisions. 

“People are data rich but insight poor,” Walton said. “You need to deploy smart tech in a way that allows you to make the most of the data sources and connected properly into maintenance, cleaning, plan and workplace teams all running off adaptive learning.” 

That means more than dashboards. It means connecting building performance data to the operational decisions that building managers and HR and real estate leaders are actually trying to make: where to invest in renovation, which floors to consolidate, how to structure booking policies, and how well the physical environment is supporting the workforce behaviors the organization is trying to encourage.

Flexible workplace policies require flexible buildings 

Policy is where the flexibility of the physical environment and the flexibility of the organizational culture have to meet. A building can be technically capable of supporting any number of hybrid arrangements, but if the rules governing how people access and book space are too rigid, that capability goes unused. Getting those rules right requires ongoing calibration as organizations learn more about how their people actually want to work. 

“Companies need to have policies but also need to be able to adjust them,” Walton said. “The interesting questions are the awkward ones. Can execs book anytime? Should one team own the good floor? We don’t tell anyone how to run hybrid – we give them the controls to keep changing their mind as they learn.”

The organizations that are doing this well are treating space policy as a living document rather than a fixed framework, using utilization data to identify where the current rules are creating friction and adjusting them in response.

Connected building platforms must scale across portfolios 

The policy challenge becomes considerably more complex when an organization operates across multiple buildings and geographies. Building owners tend to think about their properties one at a time, evaluating capabilities and investments at the asset level. Occupying organizations don’t experience their real estate that way. They experience it as a portfolio, a network of locations that their workforce moves between, and they need their building systems to integrate into the decision-making infrastructure they use to manage that network. 

A booking platform that works seamlessly in the New York headquarters but doesn’t connect to the London office or the Chicago co-working space is only solving part of the problem. The integration of building automation into enterprise workplace platforms is where the technology is still catching up to organizational need.

Hybrid work requires local flexibility 

Cultural variation adds another dimension that technology providers and building operators often underestimate. How a team in one city prefers to work, how visible they want to be to colleagues, how they feel about sharing location data, and what level of monitoring they consider reasonable is not the same as the way a team in another city or another country approaches the same questions. 

“Good tech deployment gives companies flexibility to manage hybrid the way they want to do it,” Walton said. “Culturally, it changes a lot location by location.” 

Walton noted that some organizations have implemented features that allow employees to share their location, so colleagues can book nearby desks and facilitate spontaneous collaboration. In some markets, that feature is popular and well-used. In others, employees view it as an overstep, and in some European jurisdictions it may run into data privacy regulations that restrict what employee location data can be collected and used for. 

A technology platform that doesn’t account for that variation forces organizations to choose between legal compliance and functionality, which is not a choice any procurement team wants to make.

Build for continuous change

The honest answer about what the future of work will look like is that nobody knows, and the pace at which it has changed over the past five years suggests that anyone who claims confidence in a prediction should be treated with skepticism. 

What that uncertainty argues for is not trying to get the office right for the current moment and then holding that position, but building environments and technology systems that can be reconfigured as conditions change. 

The organizations and building owners that understand this are investing not in a particular model of hybrid work but in the infrastructure of flexibility itself. 

That means sensors that can be reconfigured, software that can be updated, policies that can be adjusted, and buildings that can respond to the workforce using them rather than constraining it. The future of work is going to keep changing. The most important thing the industry can do right now is build for that certainty.

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