Siemens, which has tailored the Eigen engineering agent for industrial automation, has added two new features, expanding its application scope to the early stages of the automation engineering lifecycle.
The two new features are electronic computer-aided design (ECAD) integration and project generation in accordance with industry standards: connecting the electrical design and software development processes, and supporting the description of equipment requirements in natural language, automatically generating projects that can be directly used and in line with industry standards.
Both of these features are included in the standard subscription benefits and do not require additional payment.
Recently, Siemens officially announced the two new features of the Eigen Engineering Agent at the VivaTech 2026 innovation exhibition held in Paris, France. This AI agent specifically designed for industrial automation engineering was released in Hanover during the Industrial Fair in April 2026, achieving a leap from digital interface interaction to actual scene execution.
Practical Industrial AI: Not only providing suggestions, but also capable of implementing them on the ground.
Currently, most AI-assisted tools can only generate suggestions. However, the Eigen engineering agent can independently complete engineering tasks, achieving end-to-end industrial automation engineering task planning, execution, and verification. It can understand project requirements, write control software, complete system configuration, and continuously iterate and optimize until all indicators meet the preset quality standards. Thanks to this, automation engineers can focus on the decision-making at the system level.
The Eigen intelligent agent is part of the Siemens Xcelerator product suite and can seamlessly integrate with the Siemens engineering software platform TIA Host.
Enter the physical world and achieve efficiency improvement
At present, more than 100 enterprises from 19 countries have deployed and are using the Eigen engineering agent. These include ANDRITZ Metall from Austria, Zhongke Motong from China, and Prism Systems from the United States. This agent helps accelerate a number of daily engineering tasks, such as PLC programming, HMI visualization development, and equipment configuration. The quantified efficiency gains are as follows:
The execution efficiency has been improved by 2 to 5 times compared to the manual process.
• The engineering efficiency has been increased by as much as 50%
The overall solution quality has been improved by 80%.
“The Eigen intelligent agent demonstrates the value that AI can create beyond the digital world,” said Peter Koerte, a member of the Siemens board of directors, Chief Technology Officer and Chief Strategy Officer. “It can help enterprises increase the efficiency of complex engineering operations by up to 50% while enhancing reliability. This is precisely the core capability needed to build equipment, factories and infrastructure that ensure daily operations, and it is the true value of AI in the physical world.”
Based on the ECAD integration and the compliance with industry standards for project generation, Eigen engineering agents now have two new functions: they can identify more engineering background information in the early stages of software development, including hardware topology, device structure, and engineering design requirements. These two functions jointly enable the agent to extend further upstream in the automated engineering lifecycle, allowing engineers to start working directly based on the established system instead of manually configuring from scratch.
ECAD Integration: Eliminating Data Gaps Between Electrical Design and Automation Code
Currently, electrical engineering and automation engineering are carried out separately. They use different tools and employ two different description systems for the same equipment. Electrical engineers complete the wiring and hardware design within the ECAD tool; automation engineers then write the equipment operation program based on variable labels, function blocks, and control logic. At present, the data conversion between these two types of designs is entirely dependent on manual work: engineers need to repeatedly enter the equipment list, correct mismatched names, and follow up on subsequent hardware changes. This process is time-consuming and prone to errors.
Eigen Engineering Agent supports reading of mainstream formats such as XML and AML for electrical design files. It can identify data conflicts, automatically fix or mark abnormal items, add devices to the TIA Prosys project, configure connections, and generate PLC variable labels based on the actual hardware topology. As a result, all projects and software can be launched more quickly and in a more standardized manner, directly using the actual electrical design as the development basis.
From equipment description to the generation of projects that comply with industry standards
For every new automation project, the process of getting started follows the same path: engineers break down the equipment components, name the functional modules, organize the engineering data, and define the switching logic between different operating conditions of the equipment. Even for experienced engineering teams, it takes several days to complete these basic tasks before writing the control software, and for newcomers, the time required is even longer.
Now, the Eigen engineering agent can generate projects that comply with industry standards in just a few minutes based on the equipment description. Engineers describe the equipment information in natural language, including workstations, supporting equipment, and the operation logic of the equipment. The agent will create a complete project that strictly follows the Siemens automation framework – this framework is the best practice reference for standardizing Siemens’ TIA Profinet project setup. The generated project can be directly opened in TIA Profinet, making it convenient for subsequent development.
“A significant portion of the engineering team’s time is often spent on the interface between electrical design and software development, as well as on the gaps between understanding industry standards and their practical implementation.” Vasi Philomin, Executive Vice President and Head of Data and Artificial Intelligence Business at Siemens, said. “With these new features, the Eigen engineering agent can integrate hardware topology, system architecture and engineering design requirements into the automated workflow, allowing automation engineers to directly start work based on the formed projects that match the target devices, thereby enabling them to focus more on the truly important core tasks.”



