Siemens launches purpose‍-‍built AI agent for automation engineering

Siemens Ltd

Thursday, 23 April, 2026

Siemens launches purpose‍-‍built AI agent for automation engineering

Siemens has launched the Eigen Engineering Agent, its purpose-built AI for automation engineering. The company says the Eigen Engineering Agent represents a new class of industrial AI product: one that no longer just generates suggestions but instead uses multi-step reasoning and self-correction to carry out tasks autonomously.

Unlike generic AI tools, the Eigen Engineering Agent operates inside real engineering systems, with full awareness of each project’s context and constraints. With this understanding, it is able to execute automation engineering tasks like PLC coding, HMI visualisation and device configuration, while meeting industrial standards for correctness, safety and reliability, according to Siemens.

As industrial innovation cycles tighten and shortages of skilled engineers persist, the Eigen Engineering Agent is designed to free engineers to focus on higher-level system challenges, without compromising accuracy or reliability. Siemens says it completes AI-powered workflows two to five times faster than manual alternatives, with up to 80% higher solution quality and 50% greater engineering efficiency.

“As demand outpaces capacity, automation engineering is becoming a bottleneck,” said Vasi Philomin, Executive Vice President and Head of Data and AI at Siemens. “Manufacturers are under pressure to deliver increasingly complex systems faster, while skilled engineering resources remain constrained. With the Eigen Engineering Agent, we are delivering automation logic that meets each customer’s standards, so engineers can take on more complex projects, faster.

“This product signals a fundamental shift from AI that makes suggestions to AI that actually completes work. In industrial environments, this difference determines the value AI can create.”

The Eigen Engineering Agent connects to Siemens’ TIA Portal, giving it complete contextual understanding of every assigned project. It references the project’s data structures, blocks, parameters and component relationships, so it can deliver immediately usable outputs tailored to what engineers are actually building.

Image courtesy of Siemens.

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