Siemens is pushing Industrial AI deeper into automation engineering, moving beyond AI tools that simply provide suggestions toward systems capable of performing practical engineering tasks. The company’s Eigen Engineering Agent is becoming an important part of this strategy, connecting AI capabilities directly with automation engineering workflows.

AI Moves From Assistance to Execution

Traditional AI assistants can generate text, answer technical questions or suggest PLC code, but engineers still need to transfer those results into an actual automation project.

Siemens is taking a different approach with the Eigen Engineering Agent. The system is designed to plan, execute and validate automation engineering tasks, allowing AI to participate directly in project development.

Connected with TIA Portal, the agent can work with project structures, PLC programs, parameters and engineering data. It can support tasks such as PLC code generation, HMI visualization and device configuration.

This could significantly change how engineers approach repetitive automation work.

Supporting Faster PLC Engineering

PLC projects often contain large amounts of repetitive engineering activity. Creating program structures, configuring devices, developing HMI screens and checking project information can consume substantial engineering time.

By using natural-language interaction, engineers can describe what they want to achieve and allow the AI agent to perform multiple engineering steps. The engineer can then review and validate the resulting project rather than manually creating every element from the beginning.

Siemens has also expanded the Eigen Engineering Agent with capabilities related to ECAD integration and standards-compliant project generation, further connecting electrical design and automation engineering workflows.

Industrial AI for Existing Automation Projects

One important aspect of this approach is its potential value for both new and existing systems.

Industrial facilities often operate automation equipment that has been running for many years. Documentation may be incomplete, engineering structures may be complicated, and experienced engineers may be required to understand older projects.

AI-assisted engineering could help engineers navigate these environments more efficiently by analyzing project information and supporting modifications without requiring every task to be completed manually.

This may become increasingly important as industrial companies face shortages of experienced automation engineers.

Combining AI With Digital Engineering

Siemens’ strategy extends beyond PLC programming. Industrial AI can become more valuable when connected with digital twins, simulation, engineering data and production information.

A future automation workflow could allow engineers to describe a machine, generate an initial automation project, simulate its behavior, validate the control logic and then deploy the final system with significantly less manual engineering effort.

Such integration could shorten development cycles for machine builders while improving engineering consistency.

Human Engineers Remain Essential

Despite the increasing capabilities of Industrial AI, engineering validation remains critical. Industrial control systems operate physical equipment, and incorrect logic can create safety, reliability and production risks.

The most practical model is therefore likely to be AI-assisted engineering with human supervision. AI can handle repetitive tasks and accelerate project development, while engineers remain responsible for architecture, safety, validation and final commissioning.

Outlook

Siemens’ development of the Eigen Engineering Agent reflects a broader shift in industrial automation. AI is moving from analytics and recommendations toward active participation in engineering and industrial workflows.

As AI becomes more deeply integrated with TIA Portal, digital twins and other engineering technologies, automation engineers could spend less time on repetitive configuration and more time on system optimization and advanced control strategies.

For PLC programmers, machine builders and system integrators, this evolution could make Industrial AI one of the most important technologies shaping the next generation of automation engineering.