Siemens Launches Industrial AI Agent to Automate Engineering Work
Siemens has released Eigen, an industrial engineering agent that executes automation tasks rather than simply advising engineers. The system plans, writes code, configures systems and validates results - completing work end-to-end within real engineering environments.
CEO Roland Busch unveiled the product at Hannover Messe 2026 in Germany. Eigen represents Siemens's shift from AI assistance to actual industrial execution, backed by the company's €1bn investment in industrial AI.
How Eigen differs from existing AI tools
Conventional AI co-pilots generate suggestions. Eigen operates inside Siemens's TIA Portal automation platform and completes validated, production-ready work.
The system targets specific bottlenecks engineers identified: repetitive mass operations, documentation searches, bulk parameter changes across drive systems. Busch said Eigen delivers "up to 50% higher engineering efficiency, two to five times faster execution, up to 80% higher solution quality."
Vasi Philomin, Executive Vice President of Data and AI at Siemens, said: "The real big shift here is that we are moving away from AI that supports, to AI that actually completes work end-to-end and we're doing this in the context of real world engineering systems."
By automating repetitive tasks, Eigen frees engineers to focus on system-level design challenges rather than routine configuration work.
Immediate market access through existing user base
Siemens can reach more than 600,000 users of TIA Portal immediately. Eigen is production-ready and available now through the Siemens Xcelerator portfolio.
Three pilot customers - Austrian firm ANDRITZ Metals, Chinese automation company CASMT, and US-based Prism Systems - are already testing the agent.
Kevin Firouzian, Head of Global Strategy & Partnerships at CASMT, said the agent "transformed a complex, multi-discipline challenge into a conversational workflow. It simplified setup, reduced specialist handoffs, accelerated delivery and made debugging significantly faster."
John Elias, President at Prism Systems, said: "The challenge has been bringing that capability into real industrial workflows. Siemens's latest tools help close that gap, allowing us to apply AI in a way that truly supports engineering and automation."
Market timing aligns with manufacturing spending plans
Manufacturing leaders are committing budget to AI. According to a McKinsey survey from 2025, 93% of Chief Operating Officers at over 100 manufacturing companies plan to increase spending on digital and AI technology, with one-third intending to spend 5% of the cost of goods over the next five years.
McKinsey estimates AI in manufacturing and supply chain could reduce expenses by up to US$500bn across the sector.
Siemens's commercial deployment could accelerate industrial AI adoption as companies move beyond pilots to production systems. Operations teams managing automation engineering face pressure to scale without proportional headcount increases - a problem Eigen directly addresses.
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