Latest / Future of Work Tech with Fexingo: Remote Tools, AI Productivity, and Workplace Software / How Digital Twins Are Reshaping Office Real Estate
Transcript
- Lucas: We tend to talk about remote work and hybrid schedules as if the physical office is becoming obsolete. But for companies that still invest in office space, there's a quiet revolution happening — digital twins. Luna: Digital twins — like a virtual 3D replica of a building that's fed live data from sensors? Lucas: Exactly. And it's not just for architects anymore. A digital twin is a real-time, data-driven model of a physical space. Think of it as a 'living blueprint.' Companies use them to understand exactly how their office is being used — or underused. Luna: I've seen this mostly in manufacturing and logistics. But you're saying it's now mainstream in corporate offices? Lucas: It is. And the catalyst is hybrid work. Most companies have no idea which floors, desks, or conference rooms actually get used day-to-day. They're paying rent on space that's empty 40 to 50 percent of the time. A digital twin gives them the data to make smarter decisions. Luna: So how does it work on the ground? Walk us through the tech stack. Lucas: You start with sensors — occupancy sensors, Wi-Fi access point data, badge swipes, sometimes even thermal cameras. That data feeds into a 3D model of the building, which is layered with analytics. The model can show, in real time, which zones are crowded, which are empty, which meeting rooms are booked but unused. Luna: And then what? You adjust the floor plan? Lucas: Exactly. Or you decide to sublease a whole floor. One global tech firm I've been following used a digital twin from a company called Willow — they reduced their office footprint by 30 percent without losing collaboration space. They identified that certain wings were only used two days a week, so they consolidated. Luna: That's a huge cost saving. But I imagine employees might feel uneasy about being tracked. Where's the privacy line? Lucas: That's the most important question. Good implementations anonymize the data — they track zones, not individuals. So you know that 'Zone 4 on floor 12' is used at 70 percent capacity, but you don't know who was sitting there. The tech itself isn't the problem — it's how the policy is communicated. Luna: Right. If you tell people 'we're installing sensors to optimize the space for everyone,' versus 'we're watching where you sit,' that's a very different vibe. Lucas: Exactly. And the companies that do it well are transparent. They publish data on how the insights are used, give employees access to the anonymized analytics, and let them opt out of certain data collection like badge swipes if they want. Luna: So what kind of ROI are we talking? Is this just for big tech companies, or can a 200-person law firm benefit? Lucas: Anyone with a lease can benefit. The cost of the sensor and software stack has dropped significantly. A mid-sized financial services firm I spoke with spent about $150,000 on a digital twin system for a 50,000-square-foot office. They found that 40 percent of their desks were never used, so they converted that space into collaborative zones and saved $400,000 a year on rent. Luna: So payback in under five months. That's compelling. Lucas: And it's not just about cutting space. Some companies are using digital twins to improve the experience. For example, if the data shows that the third floor is always too cold and the fifth floor is always too hot, the building management can adjust HVAC zones. Or if a conference room's AV equipment is failing, the system flags it before anyone complains. Luna: The market is projected to reach $15 billion by 2028, according to Gartner. And the number of vendors has exploded — beyond Willow, you have Autodesk, Siemens, and startups like Arloid and Spacewell. Luna: That's interesting — you mentioned startups. Are they competing with the big building management systems, or are they complementary? Lucas: Mostly complementary. The big players like Siemens and Johnson Controls dominate the hardware — sensors, building automation. The startups focus on the software layer — the 3D visualization, the AI analytics, the user interface. Often they partner. A company might use Siemens sensors but an Arloid dashboard. Luna: Let's talk about a specific case. I read about a company called AstraZeneca that used a digital twin to redesign their lab space. They wanted to increase collaboration between researchers. Lucas: Yes, that's a great example. They used a digital twin from a company called Prism. They modeled not just the physical layout but also the movement of people and equipment. They found that certain lab benches were rarely used, so they turned them into informal meeting spots. Collaboration between teams increased by 20 percent. Luna: That's the kind of win that goes beyond cost savings — it's about productivity and innovation. And that's the story the technology vendors tell. But I wonder, are there cases where digital twins failed or delivered bad data? Lucas: Absolutely. The biggest failure mode is garbage-in, garbage-out. If your sensors are poorly placed or your data integration is sloppy, the model is useless. One company I know installed sensors only in meeting rooms, ignoring open-plan areas — so they thought those rooms were underused, but actually people were just meeting in the open. They nearly cut the wrong space. Luna: So you need to think holistically about what you measure. Otherwise the data misleads you. Lucas: Exactly. And there's also the risk of over-optimization. If you cut space too aggressively, you end up with a crowded, noisy office that nobody wants to come to. The goal should be to create the right amount of space for the right activities. Luna: So it's a balance. Data informs, but humans decide. That sounds like a healthy approach. Lucas: And I think that's the future — every office will have a digital twin, just like every website has analytics. The question is how smartly companies use that information. Luna: Speaking of using smartly — this conversation itself, I think, gave me a couple of actionable ideas. If it gave you something valuable too, you know the drill. Lucas: Yeah, if today's tech conversation gave you something usable, we'd appreciate it if you'd consider supporting the show. It's how we keep this ad-free and focused on substance. The link is buy me a coffee dot com slash fexingo. Luna: No pressure, honestly. Just if it was worth a coffee to you. And we're back to the topic. Lucas: So let's look ahead. One trend I'm watching is the integration of digital twins with artificial intelligence to simulate 'what if' scenarios. For example, 'What if we convert 20 percent of the office into a quiet zone? How would that affect overall utilization?' The twin can run those simulations and give you an answer in minutes. Luna: That's powerful. Instead of redesigning the office once a year based on guesswork, you can iterate constantly. Lucas: Exactly. And some companies are even using digital twins to plan for return to office strategies. They can model different attendance patterns — like 'if 60 percent of staff comes in on Tuesdays and Thursdays, where should we put the collaboration zones?' It reduces the guesswork. Luna: It's almost like A/B testing for office space. I love that. Lucas: And the data doesn't just help real estate — it helps HR and culture. When you know that a particular team rarely overlaps in the office, you might adjust their schedules to encourage more face time. Or when you see that the cafeteria is empty at 1 PM, you might shift lunch hours. Luna: So the digital twin becomes a central nervous system for the workplace. I think we'll see more companies adopt this over the next two years, especially as lease renewals come up. Lucas: Absolutely. And the technology is only getting cheaper. I think by 2028, having a digital twin will be as standard as having a building management system. It's not futuristic — it's already here, and it's working. Luna: Great topic. I'm going to look into that Willow platform you mentioned. Thanks Lucas. Lucas: Thanks Luna. And thanks to everyone listening. That's all for this episode of Future of Work Tech with Fexingo.