Smart building: what it is and how to digitalize the management of a commercial building

A smart building is a building that measures what happens inside it, adapts to those who use it and communicates with external systems, starting with the electricity grid.

It is not a matter of gadgets. It is the difference between a property managed by intuition and one managed on data, with concrete effects on consumption, comfort and maintenance costs.

In brief:

• Smart does not mean automated: it means measured, adaptive and able to communicate with the outside world.
• A European indicator exists to measure it, the Smart Readiness Indicator, with application expected from 2027 for large non-residential buildings.
• The technologies overlap with those of energy efficiency: sensors, automation, data platform.
• The hard part is not the technology, it is the processes and the ownership of the data.

What a smart building is

The most useful definition is functional and matches the three capabilities that the European Union uses to assess buildings:

• Maintaining efficiency by adapting consumption to real conditions, instead of running on fixed schedules.
• Adapting to occupants' needs, in terms of comfort, air quality and use of spaces.
• Responding to grid signals, that is, shifting or modulating loads when the electricity system needs it.

The third capability is the one that truly distinguishes a smart building from a merely automated one, and it is also the least present in Italian commercial properties.

Smart building, building automation and home automation

Three overlapping terms that are worth keeping distinct:

• Home automation: automation of domestic environments, with comfort and security logic designed for the home.
• Building automation: automation of the systems of a non-residential building, governed by a BMS.
• Smart building: the building as a whole, where automation, data, maintenance and space management work on a common information base.

A building can be full of automation and not be smart, if every system remains isolated and nobody uses the data to make decisions.

The Smart Readiness Indicator: measuring a building's intelligence

This is the part that is often missing from discussions on the topic, and yet it is the one about to become concrete.
The Smart Readiness Indicator (SRI) is the European indicator that measures a building's readiness to be intelligent. It is defined by EU delegated regulations 2020/2155 and 2020/2156 and is referenced by the EPBD directive .
The assessment covers nine technical domains: heating, cooling, domestic hot water, ventilation, lighting, dynamic building envelope, electricity, electric vehicle charging, and monitoring and control systems. Each service is weighted against seven impact criteria: energy savings, energy flexibility, comfort, convenience, health and wellbeing, maintenance and information to occupants.
The result is a score, which can also be expressed in classes, that says how ready a building is to host intelligent services.
On timing, a Commission report is planned for June 2026 and a delegated act for June 2027, with application starting in 2027 for non-residential buildings above 290 kW of rated power of heating and cooling systems.
For those who manage real estate portfolios it is a date to put on the agenda now, because it is the same threshold as the obligation on automation and control systems.

The technologies that make a building smart

The sequence matters: without the first two levels the others do not exist, and most of the projects that stall are the ones that started from the top.

What changes in day-to-day management

Beyond definitions, a digitalized building changes four things in the work of those who manage it:

• Fewer inspection rounds, more targeted checks. The status of the systems is read remotely, and the site visit is made where needed.
• Condition-based maintenance. The intervention starts from an indicator that worsens, not from a fixed calendar or a report from occupants. This is the approach of predictive maintenance.
• Comfort managed on data. Complaints about heat and cold are addressed with temperature, humidity and CO2 measured in that zone, not with impressions.
• Simpler reporting. Consumption, interventions and environmental conditions are already recorded, and they serve both for environmental certifications and for regulatory obligations.

In our experience it is the second point that convinces facility managers first, because it shows immediately: an anomaly caught before the failure avoids an emergency call and a service disruption.

Where the market stands

The topic is growing but remains niche compared with the existing building stock. According to the Internet of Things Observatory of Politecnico di Milano, in 2025 the Italian smart building market is worth about 1.4 billion euros, within an overall IoT market of 10.9 billion that grew by 12%.
The main push comes from two directions: energy costs and European regulation, with the EPBD introducing obligations on automation, metering and performance of non-residential buildings.

What smart building means by property type

The same technologies deliver different results depending on the intended use:

• Offices and headquarters: occupancy is the decisive variable, because it conditions air conditioning, lighting and decisions about spaces. Further reading: reducing energy consumption in the office.
• Hotels: non-negotiable comfort and consumption tied to occupied rooms, with domestic hot water as a heavy item.
• Multi-site retail: the value lies in centralized control of many similar points, where every correction is multiplied by the number of stores. Further reading: retail and shopping centers.
• Hospitals and nursing homes: systems always on, continuity and comfort constraints, heavy weight of maintenance.
• Schools and public buildings: intermittent and highly predictable use, so large room on schedules, and obligations already in force for the public sector. Further reading: energy efficiency in schools.

Occupant data, privacy and security

This is the least discussed aspect and the one that sinks the most projects when it emerges late.
Data on people. Detecting presence serves to regulate systems, not to monitor workers. The technical choice matters: a presence sensor or an aggregate count per zone are different from a camera or tracking of personal devices.
The practical rule is to collect the most aggregated data that solves the problem, declare it clearly and, when it concerns employees, involve those in the company who handle privacy and union relations before installation.
System security. Systems that end up on the network were born for closed networks: many field protocols have no native security. Segmenting building system networks, managing remote access and keeping devices updated is not an optional requirement, it is what prevents a digitalized building from becoming an open door.

The mistakes we see most often

• Buying technology before defining processes. If it is not clear who looks at the data and who intervenes, the system remains unused.
• Systems that don't talk to each other. Systems, metering, maintenance and space booking in four different software tools produce four different truths.
• Closed protocols. Tying yourself to a proprietary ecosystem costs little at first and a lot at the first change of supplier.
• Sensors without maintenance. Dead batteries and offline devices empty the system in a few months.
• No project owner. A smart building requires someone who takes care of it permanently, not a one-off project.

How to digitalize a building, in four steps

• Registry and model. Spaces, systems and equipment, on a floor plan or on a BIM model. It is the foundation to which everything else is attached.
• Measurement. Sub-metering on the main utilities and environmental sensors in critical zones, with 15-minute data and continuous monitoring.
• Automation and integration. Regulation based on climate and occupancy, integrating existing systems instead of replacing them.
• Processes and roles. Alarms with a recipient, maintenance linked to data, indicators reviewed periodically.

Each step produces benefits on its own. This is why it is better to proceed this way, instead of waiting for the overall project that starts in two years.

The tools: a common data foundation

The critical point of a smart building is keeping together worlds that usually live separately: energy, maintenance, spaces, comfort.
UTwin works exactly on this integration: the platform builds the building's digital twin from CAD files or BIM models and connects real data to it.
The energy management software brings onto the model consumption of energy, water and gas and environmental parameters collected by smart meters and IoT sensors, with AI algorithms that detect anomalies and regulate systems remotely based on outdoor climate and occupancy.
The maintenance software (CMMS) is natively integrated, so the anomaly becomes a work order assigned to the right piece of equipment.
Where a BMS is already in place, the platform integrates with it and enhances its automation capabilities. Where a traditional BMS is not cost-effective—such as in retail stores, supermarkets, hotels, nursing homes, and small facilities—it functions as a “BMS light” with CAPEX up to 70% lower.

Frequently asked questions

• What is the difference between a smart building and home automation?

  Home automation concerns the automation of domestic environments. Smart building concerns non-residential buildings and goes beyond automation: it includes consumption metering, maintenance management, space usage and the ability to respond to electricity grid signals.

• How do you measure how smart a building is?

  With the Smart Readiness Indicator, the European indicator that assesses nine technical domains against seven impact criteria and returns a score of readiness for intelligence. It is expected to apply from 2027 for non-residential buildings above 290 kW.

• Does a smart building save energy?

  Yes, but the savings come from actions, not from devices. The items with the greatest impact are scheduling based on hours and actual occupancy, eliminating loads that stay active when the building is empty, and data-based maintenance. The full picture is in the guide to energy efficiency.

• Do I need to redo the systems to have a smart building?

  Almost never. In most cases metering and sensors are added to existing systems and integrated through field protocols. Replacement concerns end-of-life components, not the entire system.

• Where is it best to start with a portfolio of several buildings?

  From a representative pilot building, measuring the main utilities and verifying the results over one season. The pilot results are used to size the extension to the other properties and to choose the comparison indicators.

Where to start

The simplest way to understand where you stand: try to answer three questions about the building. How much does each main system consume? How many people are in each area at different hours? When was the last intervention on a machine carried out and why?
If the answers require phone calls and spreadsheets, the room for improvement is all there, and you don't need a two-year project to start recovering it.