For our latest expert insights, we spoke with Amir Frayhat, managing director of HSD Händschke Software & Datentechnik GmbH, about the role of digital twins and artificial intelligence in building operations. Drawing on his long-standing experience in the CAFM sector, he explains how AI turns large volumes of building data into actionable insights rather than just visual 3D models. He also highlights the importance of data quality and explains why a hybrid approach—combining AI-supported automation with human expertise — will be essential for the future of intelligent building management.
A digital twin collects vast amounts of data—at what point does AI actually help us make real decisions based on this data, rather than just looking at colorful 3D models?
AI helps to systematically analyze and interpret the huge amounts of data. Using pattern recognition, anomaly identification, and simulation of different scenarios, AI can provide comprehensive information. The goal must be to derive concrete recommendations for action, such as maintenance planning or process optimization.
AI is only as good as its foundation—how do we deal with it when the sensors on the real building deliver incorrect or incomplete data to the digital twin? Does AI recognize the error?
Data quality is a crucial factor. Although AI can help to identify inconsistencies, it will not detect all errors. With the help of plausibility checks or comparisons with historical data sources, implausible values can be identified and flagged. Further measures are necessary, such as regular calibration of sensors and regular human checks (spot checks).
Will we still control buildings manually in the future, or will the combination of digital twins and AI regulate all building services completely autonomously?
In my opinion, a hybrid model will prevail in practice. AI will take over routine tasks (currently), such as building functions (heating and ventilation control or maintenance planning). Humans will make higher-level decisions, set rules for AI, and intervene in special cases. This is particularly true for complex decision-making situations where human judgment is required.
Amir Frayhat has been managing director at CAFM software company HSD Händschke Software & Datentechnik GmbH since 2022, where he has been working since 2014. He has been successfully active in the CAFM business for 15 years and is closely involved in the integration of AI into HSD’s CAFM software.