Siemens (Munich) announces an expansion of its industrial AI offerings with AI agents designed to work across its Industrial Copilot ecosystem. These agents represent a shift from AI assistants that respond to queries towards autonomous agents that execute processes without human intervention.
Siemens’ new AI agent architecture features an orchestrator that deploys a toolbox of specialized agents to solve complex tasks. These agents understand intent, learn continuously, and access external tools and other agents as needed. Users retain the ability to choose the tasks they wish to delegate.
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.
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’ own AI agents but also those developed by third parties.
The Siemens Industrial Copilot, enhanced by Industrial AI agents, addresses the following phases:
- Design Copilot: It accelerates the product design process. Design engineers can navigate complex data, balance tradeoffs, 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.
- Planning Copilot: Currently in pre-release, this solution optimizes production planning, resource allocation, and scheduling through generative AI-powered insights.
- Engineering Copilot: This solution enables engineering without repetitive tasks. As the first generative AI-powered product for automation engineering, it empowers engineers to generate automation code through natural language inputs.
- Operations Copilot: Currently available for Insights Hub, the Copilot provides holistic insights into the entire plant. 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. This makes operations and maintenance more reliable and safer both in the control room and in the field.
- 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, with pilot implementations demonstrating an average 25% reduction in reactive maintenance time.
The Siemens Industrial Copilot is already delivering measurable results in both Siemens’ own plants and customer implementations worldwide.
More information: www.siemens.com/industrial-copilot