

Three strategic objectives drove the initiative of integrating IA for energy management :
1. Regulatory & ESG Alignment : identifiy additional reduction potential in electricity consumption (scope 2 emissions) to further improve the asset’s carbon performance
2. Value Creation : the building is a newly delivered asset equipped with an advanced Building Operating System enabling precise energy monitory .The objective was to unlock additional value from this infrastructure by integrating Artificial Intelligence (AI) , enhancing performance for both owner and tenants.
3. Cost Management : reduce electricity consumption related to technical systems and common areas, while preserving occupant comfort and operational reliability
The building was already equipped with a SAUTER HVAC and a fully integrated Building Operating System (BOS) improving performance supervision.
The challenge was not technological alone - it was also operational and organizational :
◦ How can additional energy savings be indentified in a building already designed as « smart » ?
◦ How can an AI layer interact effectively with an existing HVAC regulation system without compromising operational stability ?
◦ How can governance be structured when AI directly influences technical building systems ?
◦ Demonstrate the tangible impact of AI-driven energy optimization within an already high-performance building.
◦ Generate measurable energy savings enabling a short payback period.
◦ Create a replicable management framework for AI-driven building operations.
1. Proof of Concept
◦ Footbot.io, a Luxembourg-based software company, had previously demonstrated significant results at the LIST conference venue.
◦ The solution optimized HVAC energy consumption dynamically based on actual room occupancy, using CO₂ sensors as a real-time proxy for usage intensity.
◦ This validated the potential of AI to enhance energy efficiency beyond traditional regulation systems.
2. Integration into the Building Operating System
Footbot.io was integrated by the BOS operator, enabling AI-driven control of HVAC parameters. The project combined technology integration with organizational transformation :
◦ Establishing clear operational protocols, as the AI solution directly interacted with HVAC control systems
◦ Designing a new governance framework clarifying roles and responsibilities between the technical services responsible for SAUTER HVAC maintenance & the facility manager supervising the BOS
3. Performance monitoring & carbon impact
In order to ensured transparency and financial accountability we structured :
◦ Performance tracking dashboards
◦ Carbon footprint assessment updates
◦ Return-on-experience analysis
Results
12% reduction in electricity consumption for common areas and a return on investment achieved within 2 years :
◦ The model is replicable across office, retail, and mixed-use portfolios
◦ It leverages existing BOS infrastructure while being applicable directly on an existing HVAC installation
◦ It accelerates decarbonization without heavy CAPEX