Siemens says its new AI system can complete engineering workflows up to five times faster. The release targets a growing labor gap in industrial automation, where speed and accuracy directly affect production timelines.
The company introduced the Eigen Engineering Agent as part of its industrial AI push. The system operates within Siemens’ Totally Integrated Automation (TIA) Portal, enabling it to design, configure, and validate automation tasks across existing industrial environments.
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The agent uses multi-step reasoning and iterative validation to execute tasks such as programmable logic controller programming, human-machine interface setup, and device configuration. It processes project requirements, generates outputs, and refines them until predefined performance thresholds are met.
Pilot deployments across more than 100 companies in 19 countries showed measurable efficiency gains. Firms including ANDRITZ Metals, CASMT, and Prism Systems reported reduced engineering time, with one case highlighting faster structured control language code generation and fewer specialist handoffs.
Industry data points to a structural constraint underpinning adoption. Estimates suggest a global shortfall of up to seven million manufacturing workers by 2030, while around 20% of engineering roles remain unfilled, increasing reliance on automation tools.
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Siemens positions the system as a “self-correcting” engineering agent capable of aligning outputs with existing system architectures, including legacy configurations. The platform accesses project-specific data such as control logic and component relationships, allowing outputs to match established engineering standards without manual translation.
The rollout builds on Siemens’ €1 billion investment in industrial AI and a portfolio that includes over 2,000 AI-related patent families. Attention now shifts to broader deployment across the industrial value chain, where adoption rates and integration into live production systems will determine impact.
