Siemens Smart Infrastructure launched Asset Performance Advanced, a new AI-enabled managed building service. By combining an integrated predictive failure mode classification with advanced fault detection and diagnosis (FDD), the solution helps customers across industries optimize operations, improve energy performance, and enhance occupant comfort. Bringing together predictive intelligence, prescriptive AI, and expert-guided actions, Asset Performance Advanced supports the transition toward human-centric autonomous buildings – enabling them to sense issues, decide actions, and continuously improve performance.
The solution is built on three core capabilities: predictive, prescriptive, and workflow. It identifies root causes of performance issues, recommends high impact actions to address them, and enables automated, optimized execution across teams. Unlike analytics-only solutions, Asset Performance Advanced not only detects issues but also operationalizes response – combining AI-assisted recommendations, standardized resolution playbooks, and integrated workflows that route tasks to the right teams, supported by Siemens Digital Service Centers. This ensures that insights consistently translate into measurable outcomes.
Asset Performance Advanced is designed for industries where uptime and operational reliability are critical – including healthcare, higher education, and commercial real estate – and is supported by intuitive dashboards and expert-led reporting. Healthcare facilities operating around the clock can detect issues early and maintain compliance in critical environments such as operating rooms and patient care areas. Higher education institutions gain portfolio-wide visibility to proactively manage assets across distributed campuses. Commercial real estate owners can improve comfort consistency, meet energy and ESG targets, and enhance both tenant satisfaction and asset value.
“As buildings become more complex and data-rich, the challenge is no longer visibility but translating insights into meaningful impact. At Siemens, our vision is to create human-centric autonomous buildings that continuously adapt to the needs of their occupants while optimizing performance in the background. With Asset Performance Advanced, we are closing the loop between detection, decision, and execution by combining AI, domain expertise, and service delivery to enable more resilient, responsive, and sustainable building operations,” said Brad Haeberle, SVP of Services at Siemens Smart Infrastructure Buildings.
Traditional reactive maintenance can cost three to five times more than planned or predictive approaches, often leading to emergency repairs, service disruptions, and occupant dissatisfaction. Asset Performance Advanced moves beyond rule- and alarm-based monitoring by prioritizing issues based on their impact on comfort, energy, and uptime. By leveraging advanced analytics to continuously monitor heating, ventilation, and air conditioning (HVAC) systems and building automation devices, the service enables early detection – before alarms are triggered – while helping teams focus on the highest-value actions.
AI-assisted recommendations further extend beyond traditional guidance by determining and initiating optimal workflows. Through standardized resolution playbooks and recurring performance reviews, the service continuously optimizes building portfolios and closes the operational loop – shifting from reactive responses to proactive, outcome-driven decision-making. The service also connects insights directly to execution through integrated digital workflows delivered via the Siemens Customer Interaction Portal. Issues are automatically prioritized and routed to the appropriate teams – whether in–house or to Siemens Digital Service Centers – enabling customers to act faster and more efficiently with fewer resources.
Asset Performance Advanced further expands Siemens' automation services portfolio and is integrated within the Building X ecosystem. Building X is a digital building platform that supports customers to digitalize, manage, and optimize their building operations.
