Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

How Software Became a Building Manager’s Best Friend

The job of the building manager is rapidly changing—and Internet of Things (IoT) technology is behind that change. Indeed, assistant building managers are increasingly likely to be Artificial Intelligence (AI) rather than human beings. Anyone who has worked in an office building—or even stayed in a college dorm—knows that changes in weather can make the…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share

The job of the building manager is rapidly changing—and Internet of Things (IoT) technology is behind that change. Indeed, assistant building managers are increasingly likely to be Artificial Intelligence (AI) rather than human beings.

Anyone who has worked in an office building—or even stayed in a college dorm—knows that changes in weather can make the building too hot or too cold, at least until the building manager changes the system from heat to air conditioning, or vice versa. Then the system is working hard to get the temperature to where it is supposed to be, while everyone in the building is either too hot or too cold. Even if the manager gets the building to the right temperature for most of the people, there are always those rooms that never quite match the rest of the building.

Maintenance faces similar problems. The ideal situation would be to have a system where building managers could do pre-maintenance after hours to ensure very little downtime. With current systems, more often than not someone has to put in a maintenance request with the building manager, who then arranges with maintenance to work on the problem, who tries to schedule it around the other work he or she already has to do. It is inefficient and prone to human error, but it is what residents or tenants have had to work with for years.

With smart buildings, these issues could easily become a thing of the past.

AI can not only improve building comfort throughout the day and in each and every room, it can also simultaneously reduce energy costs. Energy usage changes based on building usage and occupation rate throughout the day, heat from people and machines, and present and future weather conditions.

A smart system is able to adjust for all of these factors, as well as current and desired room conditions, patterns of room use, and even the changing supply of renewable energy or energy prices. A system that could reduce energy usage when nobody is in a room and prepare the building before anyone arrives would improve both comfort and costs—and this is precisely what AI can bring a building manager.

There are also a number of building maintenance software packages out there that can help better coordinate building maintenance. They can help manage work orders, equipment, inventory, and track patterns of breakdown to allow a manager to schedule preventative maintenance. There are probably few ways more effective at keeping tenants happy and costs down than being able to do preventative maintenance right before a larger problem occurs.

Building managers are going to be able to find a fantastic partner in the combination of IoT, AI, and software being developed for building management. The assistant building manager of the future is going to have AI—and that will keep everyone comfortable, including the accountant.

For the latest news, videos, and podcasts in the Building Management Industry, be sure to subscribe to our industry publication.

Follow us on social media for the latest updates in B2B!

Twitter – @BuildingMKSL

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512