Real-world application

AI-Assisted Data Onboarding

Turn fragmented building data into a trusted foundation for digital services. AI-assisted contextualization and expert validation help activate Building X applications and Asset Performance Advanced faster and scale them across portfolios.

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Challenge

Building data is often distributed across systems and stored in different formats. Without consistent connectivity and context about equipment, locations, and system relationships, activating digital applications requires extensive manual effort and is difficult to scale across a portfolio.

Solution

Siemens connects existing data sources and uses AI-assisted contextualization to propose semantic types, tags, equipment assignments, locations, and system relationships. Siemens experts validate the results, creating a trusted data foundation for Building X applications and Asset Performance Advanced.

Benefits

Reduce manual onboarding and modeling effort by more than 50% through AI-assisted contextualization and standardized workflows. *
Activate Building X applications and Asset Performance Advanced faster with connected, contextualized, and validated data.
Scale deployments consistently across buildings, campuses, and portfolios using standardized connectivity and data models. Benefit from an up to 50% reduction in maintenance labor cost. **

*Source: Siemens AG. (2026). Autonomous Buildings Use Case Folio. Internal product data
**Source: Zeb & Lodhi (2025), ResearchGate. Based on ~2,800 maintenance calls/year and ~$700k/year labor cost in a multi-site hospital with BMS and Asset Performance. Results vary and are not guaranteed

Illustration representing the Benefits of AI-Assisted Data Onboarding

How to get started

Connect existing building data, add context with AI, validate the proposed structure with Siemens experts, and activate digital applications and managed services.

Illustration of a building connected to a cloud via data streams

Connect building data

Connect available engineering data and metadata from existing Siemens and third-party systems, whether deployed on-premises or in the cloud.

Add context with AI

Use AI-assisted contextualization to propose semantic types, tags, equipment assignments, locations, and system relationships across the connected data.

Illustration of an expert sitting in front of a computer desk

Validate with experts

Review the proposed data structure through confidence-based workflows. Siemens experts validate the AI-generated results before applications and services are activated.

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Activate digital services

Use the connected and validated data foundation to activate Building X applications and managed services such as Asset Performance Advanced.

Compatibility with existing systems

Connect and contextualize data from both existing and new buildings across a wide range of Siemens and third-party systems. Existing building systems do not have to be replaced.

Human validation

Apply confidence-based review workflows before activation. AI proposes equipment assignments, locations, and system relationships; Siemens experts review and validate the results.

Connectivity and interoperability

Use Building X as the foundation for connectivity, cybersecurity, and interoperability. Standardized data models support consistent deployment across buildings and portfolios.

Kickstart your journey with this solution package

Explore Asset Performance Advanced to see how AI-enabled analytics and Siemens expertise use connected and contextualized building data to continuously monitor asset performance, identify emerging issues, and support predictive and prescriptive maintenance.

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