Siemens Introduces AI Agents for Industrial Automation

Siemens has expanded its industrial AI offerings with advanced AI agents built to operate seamlessly within its existing Industrial Copilot ecosystem. This development marks a shift from query-based AI assistants to autonomous agents capable of executing entire processes without human input. The system uses a toolbox of specialized agents to handle complex tasks across the industrial value chain. These agents function autonomously and intelligently—understanding intent, learning continuously to improve performance, and interacting with external tools and other agents when needed. Users remain in control, choosing which tasks to delegate to AI agents.

How the AI Agent Architecture Works

Siemens' approach distinguishes between Industrial Copilots, the interfaces users interact with, and the AI agents that power them behind the scenes. The company is developing digital agents and integrating physical agents, including mobile robots, with the aim of creating a comprehensive multi-AI-agent system where agents are highly connected and work collaboratively. These orchestrated agents work with other Siemens agents and integrate with third parties.

To further accelerate adoption and innovation, Siemens is planning to create an industrial AI agent marketplace hub on the Siemens Xcelerator Marketplace. This marketplace will enable customers to access not just Siemens' AI agents but also those developed by third parties.

The AI-Enhanced Siemens Industrial Copilot 

The Siemens Industrial Copilot, enhanced by Industrial AI agents, is intended to address every phase along the industrial value chain, across both process and discrete industries, as noted below:

Design Copilot: Currently available for NX CAD, it helps accelerate the product design process. Design engineers can more efficiently navigate complex data, balance trade-offs, and perform multi-domain tasks. The AI-powered assistant enables users to ask questions in natural language, quickly access detailed technical insights, and streamline complex design tasks. Siemens is also currently developing a Hydrogen Configurator for designing hydrogen production plants and seamlessly generating block flow diagrams with precise plant unit layouts and interconnections.

Planning Copilot: Currently in pre-release, this solution is designed to optimize production planning, resource allocation, and scheduling through generative AI-powered insights.

Engineering Copilot: Available for TIA Portal, with Managed Service coming in 2025, it enables engineering without repetitive tasks. This generative AI-powered product for automation engineering is intended to empower engineers to generate automation code through natural language inputs, speeding up SCL code generation while minimizing errors. In process industries, the AI-assisted P&ID detection cloud service can be used to digitalize and consolidate legacy P&ID diagrams.

Operations Copilot: Currently available for Insights Hub, the Copilot provides holistic insights into the entire plant. In addition, at the machine level, Siemens is planning to introduce an Operations Copilot for shop floor workers, which will be available by the end of 2025. This new product is designed to empower shop floor operators, service technicians, and maintenance engineers to work more efficiently by querying machine data and receiving error resolution guidance through natural language. The Operations Copilot can be implemented at the machine level to provide machine instructions and operator guidance. For the process industries, the generative AI-based assistant Simatic eaSie enables technicians and maintenance personnel to access relevant plant and equipment data via chat or voice interaction.

Services Copilot: The Maintenance Copilot Senseye provides maintenance teams with expert-level equipment diagnostics without the need for specialized technical knowledge. Recently expanded beyond predictive maintenance to cover the entire maintenance lifecycle, this solution supports everything from reactive repairs to predictive and preventive strategies.

Learn more about Industrial AI's Role in the Digital Transformation of Industries.