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Siemens introduces AI system for automation engineering

Published byAIDaily Editorial Team
3 min read
Original source author: Muhammad Zulhusni

Siemens has introduced the Eigen Engineering Agent, an AI system designed to plan and validate automation engineering tasks in operational environments. The system uses multi-step reasoning and self-correction to carry out tasks autonomously and operates directly inside engineering platforms, letting it to complete workflows from initial design through to validation. Autonomous engineering workflows The agent […] The post Siemens introduces AI system for automation engineering appeared first on

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Siemens has introduced the Eigen Engineering Agent, an AI system designed to plan and validate automation engineering tasks in operational environments. The system uses multi-step reasoning and self-correction to carry out tasks autonomously and operates directly inside engineering platforms, letting it to complete workflows from initial design through to validation. Autonomous engineering workflows The agent is designed to interpret project requirements, generate automation code, configure industrial systems, and refine outputs until predefined performance targets are achieved. This includes tasks like programmable logic controller (PLC) programming, human-machine interface (HMI) setup, and device configuration. It is built to meet industrial requirements for correctness and reliability during execution. The system connects to Siemens’ Totally Integrated Automation Engineering platform, TIA Portal, letting it access project-specific data like structures and component relationships. This lets it generate outputs aligned with existing system configurations, including legacy or undocumented environments. It can reference control logic, system hierarchies, and component dependencies in a project, allowing outputs match existing engineering standards without requiring manual translation. The system executes tasks through a workflow that breaks down engineering problems into steps, processes them sequentially, and evaluates results against project requirements. It iterates until outputs meet the specified criteria before presenting them for an engineer’s review. Industry estimates point to a global shortfall of up to seven million manufacturing workers by 2030 , with some sectors reporting that around one in five engineering roles remain unfilled. According to Siemens, the system executes tasks two to five times faster than manual workflows while maintaining accuracy. Deployment in industrial workflows In pilot deployments involving more than 100 companies in 19 countries, the Siemens system was applied to standard automation engineering processes. Participating organisations included ANDRITZ Metals, CASMT, and Prism Systems. Prism Systems used the system to generate and import structured control language (SCL) code, reducing execution time for these tasks. In another case, CASMT applied the system to automate device configuration, code generation, and HMI visualisation in production line development. CASMT reported reduced specialist hand-offs in engineering disciplines and shorter delivery timelines. The Eigen Engineering Agent is integrated into Siemens’ Totally Integrated Automation Engineering platform, TIA Portal, which has more than 600,000 users. It is available as part of the company’s Xcelerator portfolio and can be accessed digitally. Industry constraints and workforce gaps Surveys of manufacturing organisations indicate that while most companies report having large volumes of operational data, data quality and contextualisation remain important barriers. In addition to general labour shortages, manufacturers also face a shortage of workers with the technical skills needed to run AI systems in industrial environments. Initial deployments focus on automation engineering workflows, but the system is structured to extend into other areas of the industrial value chain. Siemens positions the development as part of broader efforts to embed AI into industrial operations and software systems. The release follows Siemens’ previously announced €1 billion investment in industrial AI. The company reports having more than 1,500 AI specialists and over 2,000 AI-related patent families globally, supporting ongoing development of AI-based engineering and operational tools. (Photo by Homa Appliances ) See also: Cadence expands AI and robotic partnerships with Nvidia, Google Cloud Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and co-located with other leading technology events. Click here for more information. AI News is powered by TechForge Media . Explore other upcoming enterprise technology events and webinars here . The post Siemens introduces AI system for automation engineering appeared first on AI News .

Key takeaways

  • Siemens introduced an AI system that can increase efficiency in engineering, addressing the shortage of skilled labor.
  • The Eigen Engineering Agent integrates with existing platforms, facilitating automation in industries still using legacy systems.
  • The adoption of AI solutions could stimulate innovation and investment in the Brazilian tech sector.

Editorial analysis

The introduction of the Eigen Engineering Agent by Siemens represents a significant advancement in automating engineering processes, especially in a context where the shortage of skilled labor is a growing concern. In Brazil, where the industry faces similar challenges, the adoption of AI-based solutions can be a competitive differentiator. This system not only promises to increase efficiency but can also help mitigate the lack of engineers, allowing companies to maintain productivity even with a reduced number of professionals.

Moreover, the Eigen Engineering Agent's ability to operate within existing engineering platforms, such as the TIA Portal, highlights the importance of integrating emerging technologies with legacy systems. This is particularly relevant in Brazil, where many industries still rely on outdated infrastructure. The system's capability to generate outputs that adhere to established engineering standards can facilitate the transition to advanced automation, minimizing the risk of errors and rework.

The implications for the technology ecosystem in Brazil are vast. With the increasing digitalization of industry, there is an opportunity for startups and tech companies to develop complementary solutions that integrate or expand the capabilities of the Eigen Engineering Agent. The focus on automation and AI could stimulate a new cycle of innovation and investment in the sector, particularly in areas such as professional training and software development.

Finally, it is important to observe how Brazilian companies will respond to this technology. The acceptance and implementation of AI systems in industrial environments will require not only investments in technology but also in personnel training. The success of this transition will depend on companies' willingness to adopt new approaches and foster an organizational culture that values innovation and adaptation to new available tools.

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