NUREMBERG, Germany, Mar 31, 2025 – The Siemens Industrial Copilot leverages generative AI to enhance industrial processes, including design, planning, engineering, operations, and maintenance. For example, the generative AI-powered assistant empowers engineering teams to generate code for programmable logic controllers using their native language, speeding-up SCL code generation by an estimated 60% while minimizing errors and reducing the need for specialized knowledge. This reduces development time and supports faster project cycles and reliable automation solutions.
Siemens is creating a set of copilots to meet industrial-grade standards for discrete and process manufacturing. They have expanded their industrial copilot solutions with an advanced maintenance solution designed to improve industrial-level maintenance strategies.
Siemens brings generative AI to the entire maintenance cycle
The new generative AI-powered solution will support every stage of the maintenance cycle by helping industries move beyond traditional maintenance practices toward an intelligent, data-driven approach. To realize this, the Senseye Predictive Maintenance solution, powered by Microsoft Azure will be extended with two new offerings:
- Entry Package: This solution offers an affordable approach to predictive maintenance, combining AI-based repair guidance with basic predictive features. It supports the shift from reactive to condition-based maintenance by enabling limited connectivity for sensor data collection and real-time condition monitoring. AI-assisted troubleshooting and low infrastructure demands help reduce downtime, improve maintenance workflows, and lay the foundation for predictive maintenance.
- Scale Package: This solution is intended for organizations aiming to enhance their maintenance strategy by integrating Senseye Predictive Maintenance with Maintenance Copilot capabilities. It helps users identify potential equipment issues in advance, upgrade system availability, and manage costs using AI-based insights. With support for enterprise-level deployment and automated diagnostics, the solution helps organizations improve maintenance practices across multiple sites and work toward long-term operational efficiency.
The new offering enables coverage of the maintenance cycle – from reactive repair to predictive and preventive strategies – by leveraging generative AI-driven insights that enhance decision-making and efficiency across industrial environments.
As industries seek ways to enhance reliability and reduce costs, maintenance operations are evolving from reactive to proactive approaches. Traditional maintenance strategies often lead to infrastructure costs; Siemens addresses this challenge by integrating AI-driven maintenance solutions that help companies optimize their asset performance and maximize operational uptime. Generative AI and predictive maintenance enable customers to use real-time data and analytics to support timely interventions and planning. First pilot use cases indicate that the Industrial Copilot for maintenance helps save on average 25% reactive maintenance time.
“This expansion of our Industrial Copilot marks a significant step in our mission to transform maintenance operations,” said Margherita Adragna, CEO of customer services at Siemens Digital Industries. “By extending our predictive maintenance solutions, we’re enabling industries to seamlessly shift from reactive to proactive maintenance strategies and drive efficiency and resilience in an increasingly complex industrial landscape.”
This development reflects Siemens’ ongoing efforts to support industrial digitalization by offering an integrated and data-informed approach to maintenance to improve long-term operations.
Source: Siemens
About Siemens Digital Industries (DI)
Siemens Digital Industries (DI), a division of Siemens AG, is a global leader in industrial automation and digitalization. Headquartered in Nuremberg, Germany, DI offers a comprehensive portfolio of software, automation technologies, and digital services designed to optimize the entire product lifecycle – from design and production to operations and maintenance. Established as part of Siemens’ broader industrial operations over 60 years ago, Siemens DI serves various industries, including automotive, aerospace, pharmaceuticals, energy, and electronics. The company is known for its flagship platforms, like Xcelerator and SIMATIC, which enable businesses to drive innovation, efficiency, and sustainability through digital transformation. Siemens DI employs thousands of professionals worldwide and generates an estimated annual revenue of over €18 billion. Its robust ecosystem supports manufacturers in navigating Industry 4.0, providing tools that combine virtual and real-world data to create innovative, flexible, and scalable industrial systems.
About Siemens AG
Siemens AG, headquartered in Munich, Germany, is a technology powerhouse with a history dating back to 1847. The company operates in sectors including industry, infrastructure, transport, and healthcare, offering products and services that range from industrial automation and digitalization solutions to energy-efficient technologies and medical diagnostics equipment. In the fiscal year 2024, which ended on September 30, 2024, the Siemens Group generated a revenue of €75.9 billion and a net income of €9.0 billion. The company employs over 312,000 individuals worldwide, with approximately 90,000 based in Germany. Siemens is recognized as a leading industrial manufacturing entity in Europe and holds a significant position in the global industrial automation and software market.