Start with a concrete need and make the necessary information accessible, understandable, and reliable. With a shared data structure, signals from existing systems can be leveraged for improved operations, better-informed investments, and AI-driven management. Start on a limited scale, track the benefits, and build from there.
You have data, but need context
Existing properties often contain control systems, meters, and sensors from different generations. Information is scattered, and much of the insight resides with those who know the building well.
This becomes apparent when someone asks: "Why is the ventilation running when the premises are empty?" Answering this might require operating times from one system, energy measurements from another, and knowledge of how the spaces are used.
A shared data structure links signals to the correct equipment, space, and function. This makes the information easier to locate, understand, and reuse.
Start here:
choose an operational issue and identify the data needed to investigate it.
Are you adjusting operations or making an investment?
High energy consumption does not automatically mean that installations need replacing. Operating times, settings, and the interaction between systems also need to be examined.
By monitoring how the building actually functions, you gain a better basis for deciding what should be adjusted and what needs replacing. Then, evaluate the measure taken against both energy consumption and comfort, while accounting for weather conditions and usage patterns.
Start here: define the improvement you wish to achieve and document the baseline situation.
Is the property ready for AI?
AI-based control is already being used in existing building portfolios. In September 2026, Siemens and Algeno reported that their heating optimization solution had been implemented in 73 buildings (https://press.siemens.com/se/en/pressrelease/siemens-och-algeno-breddar-satsningen-pa-ai-driven-varmeoptimering-i-73-byggnader). To assess the potential for your specific property, you need to know what data is available, whether the quality is sufficient, and which functions the service will control. The operations team also needs the ability to monitor results and manage any deviations.
Start here: select a specific function and review its data, control capabilities, and areas of responsibility.
Taking the next step together
At PropNodeX, we work through five steps:
- Connect: link relevant systems and data sources.
- Structure: assign clear labels and define relationships within the information.
- Ensure quality: verify that the data is usable and reliable.
- Create value: use the information for purposes such as monitoring, alerts, analysis, and control.
- Manage: keep the data structure and solution up to date over time.
Read more about our methodology and technology and standards.
What question regarding your property would you like to answer with greater certainty? Tell us what you want to solve, and we’ll find a first step together.