agentic

Siemens introduces AI agents for industrial automation
At the ongoing Automate 2025 trade show in Detroit, Siemens is announcing an expansion of its industrial AI offerings with advanced AI agents designed to work seamlessly across its established Industrial Copilot ecosystem.

This new technology represents a fundamental shift from AI assistants that respond to queries towards truly autonomous agents that proactively execute entire processes without human intervention.

Siemens’ new AI agent architecture features a sophisticated orchestrator. Like a craftsman, it deploys a toolbox of specialized agents to solve complex tasks across the entire industrial value chain.

These agents work intelligently and autonomously – understanding intent, improving performance through continuous learning, and accessing external tools and other agents as needed.

Automating automation: 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.

Furthermore, the company is developing digital agents, and integrating physical agents, including mobile robots.

This way, Siemens is creating a comprehensive multi-AI-agent system where agents are highly connected and work collaboratively.

What sets Siemens’ approach apart is the orchestration of these agents utilizing a comprehensive ecosystem.

These agents not only work with other Siemens agents but also integrate with third-party agents, enabling unprecedented levels of interoperability.

To further accelerate adoption and innovation, Siemens is planning to create an industrial AI agent marketplace hub on the Siemens Xcelerator Marketplace.

The all-encompassing Siemens Industrial Copilot
The Siemens Industrial Copilot, enhanced by Industrial AI agents, addresses every phase along the industrial value chain, across process and discrete industries:

Design Copilot
Currently available for NX CAD, helps users break new ground in creativity by accelerating the product design process. Design engineers can navigate complex data, balance trade-offs, and perform multi-domain tasks more efficiently.

The AI-powered assistant enables users to ask questions in natural language, quickly access detailed technical insights, and streamline complex design tasks – all leading to significant efficiency gains in product development.

Siemens is also currently developing a Hydrogen Configurator for designing hydrogen production plants. Users can seamlessly generate block flow diagrams with precise plant unit layouts and interconnections with it.

Rainer Brehm, CEO factory automation at Siemens Digital Industries, says: “With our Industrial AI agents, we’re moving beyond the question-answer paradigm to create systems that can independently execute complete industrial workflows.

“By automating automation itself, we envision productivity increases of up to 50 percent for our customers – fundamentally changing what’s possible in industrial operations.”