STEP 4 OF 5: OPTIMIZE & IMPROVE
Your building is running well. That's exactly when to push further.
Efficient operations are a strong foundation. Step 4 is where AI takes over from automation — finding savings your team would never think to look for, and acting on them before you even notice the opportunity.
Sad but true
Most buildings stop improving the moment “the project” ends.
A new BMS gets installed. Energy consumption drops. Everyone is happy. And then, slowly, performance plateaus. Setpoints drift. Schedules stop matching reality. The savings that felt exciting in year one quietly erode by year three.
Not because anything broke. Because no one was watching closely enough to keep pushing.Optimization is the answer to this problem.
Optimized energy efficiency without compromising indoor comfort
With an AI-assisted self-learning system, you can automatically optimize heating, ventilation, and energy consumption in your property 24/7.
Intelligent optimization takes building energy efficiency to the next level. As AI continuously learns from building data, it can identify opportunities for improvement and automatically adjust building systems when needed — while ensuring stable indoor conditions and a comfortable environment for occupants.
An intelligent solution for optimizing building energy efficiency
Optimization is based on efficient use of building data. Heating and cooling account for the largest share of energy consumption in most properties. By optimizing these systems intelligently, significant energy savings can be achieved.
The savings are based on an AI-assisted system that automatically optimizes building heating by adapting to indoor conditions, weather forecasts, and occupant behavior. A property-specific model continuously evolves as the AI learns, improving optimization performance over time.
Intelligent optimization helps minimize energy consumption and emissions while maintaining optimal indoor temperatures and user comfort.
You’ve found the obvious savings.
There’s much left.
● What humans catch.
The obvious stuff — a broken valve, a misconfigured schedule, a system running when the building is empty.
● What AI can find.
The heating curve that’s two degrees off. The ventilation pattern wasting energy every Tuesday. Hundreds of micro-adjustments that compound into huge annual savings.
WHAT YOU GET
Continuous improvement. Without continuous effort.
AI-driven predictive heating control
Fidelix EcoSmart learns your building’s thermal behaviour and optimises heating proactively, not reactively.
KPI tracking against targets
Your energy and compliance targets tracked continuously, with alerts when performance drifts
Remote fine-tuning via cloud
Adjustments made by Fidelix energy managers based on live data, without site visits.
Regular optimisation reporting
Clear documentation of what changed, why, and what it saved.
A system that gets better over time
Unlike a one-off project, EcoSmart keeps finding new opportunities as your building’s usage patterns evolve.
Note: It’s NOT JUST Robots taking over
AI finds the opportunities. Our energy managers make sure you capture them.
This is the part most building automation companies don’t talk about. Software can identify that your district heating curve is suboptimal. It takes an expert to explain what that means, propose the right adjustment, and show you the projected return before you commit.
At Fidelix, every EcoSmart customer has access to an energy manager who reviews the data, brings recommendations to regular follow-up meetings, and calculates the ROI of every proposed change in advance.
You don’t just get smarter software. You get someone who is professionally invested in your building performing better.
Large venue retrofit
17% drop in district heating. No new equipment. Just smarter management.
Osuuskauppa Hämeenmaa had already integrated their Prisma Holma retail property’s refrigeration waste heat into their heating system — a smart move. But EcoSmart found savings on top of savings, optimising how that waste heat was predicted and used in real time.
District heating consumption dropped 17% in the first year. No new equipment. No disruption. Just AI continuously finding what humans missed.
“All the data shows a clear improvement. We haven’t found any explanation for the savings other than the intelligent system management.”
— Hannu Tauriainen, Technical Property Manager, Hämeenmaan Kiinteistöt Oy
How the solution works in practice
• Real-time data is continuously collected from indoor conditions and building usage
• The AI-assisted system creates a property-specific mathematical model based on the collected data
• The system also utilizes weather forecast data
• Based on the model, the system automatically adjusts building heating through the building automation system
• Optimization runs continuously without manual work
• Indoor temperatures remain within target values using as little energy as possible
• The system continuously learns and updates the model based on new data
Learn more about the AI-assisted optimization solution on the product page:
Want to go further?
For many customers, Step 4 is the destination. Continuous AI-driven optimisation running quietly in the background is exactly what they were looking for. If you manage multiple buildings or want your data working across your entire FM and ESG ecosystem, Step 5 is where that becomes possible.
