Revolutionizing manufacturing with Siemens' Industrial AI agents

In the ever-evolving landscape of manufacturing, staying ahead of the curve is crucial. Siemens, a leader in Industrial AI, is now leading the charge with its latest innovation: Industrial AI agents designed to enhance the Siemens Industrial Copilot ecosystem. This groundbreaking technology promises to transform the way designers, engineers, production managers, and business owners approach industrial automation.

In unveiling its advanced AI agents at AUTOMATE 2025, Siemens marks a significant shift from traditional AI assistants to autonomous agents capable of executing entire processes without human intervention. These AI agents are designed to work seamlessly across the Siemens Industrial Copilot ecosystem, offering a sophisticated orchestrator that deploys specialized agents to tackle complex tasks throughout the industrial value chain.

But what is an AI agent—i.e., “agentic AI,”—and how does it differ from generative AI?

GenAI versus agentic AI

Generative AI, or genAI, is a cutting-edge technology that creates new, original content such as images, code, and text based on user inputs or prompts. Utilizing deep-learning models, genAI simulates human thinking and decision-making by analyzing vast amounts of existing data, learning from it, and then applying this knowledge to produce high-quality outputs in real time. This process mirrors the way the human brain functions, making genAI particularly effective for creative tasks.

Unlike generative AI, which produces outputs primarily in response to human prompts, agentic AI functions independently, dynamically adapting to environmental changes and contexts in real-time, making decisions without constant human oversight. This technology combines large language models (LLMs)—built upon advanced machine learning methods—with other critical AI techniques such as reinforcement learning to autonomously interpret data and execute tasks. Practical early examples of agentic AI include task-oriented copilots, autonomous virtual assistants, and intelligent autonomous agents powered by LLMs.

Understanding the distinction between genAI and agentic AI is crucial for leveraging their unique capabilities in driving innovation and productivity across various industries.

With our Industrial AI agents, we're moving beyond the question-answer paradigm to create systems that can independently execute complete industrial workflows. This will automate automation itself, as we envision productivity increases of up to 50 percent for our customers, fundamentally changing what's possible in industrial operations

The key features and benefits of Siemens’ Industrial AI agents

With our Industrial AI agents, we're moving beyond the question-answer paradigm to create systems that can independently execute complete industrial workflows. This will automate automation itself, as we envision productivity increases of up to 50 percent for our customers, fundamentally changing what's possible in industrial operations, including:

• Enhanced productivity: Siemens' new AI agent architecture aims to increase productivity by up to 50 percent for industrial companies. By automating routine tasks, these agents allow human workers to focus on innovation and complex problem-solving.
• Comprehensive ecosystem: The Industrial Copilot ecosystem distinguishes between user interfaces and the AI agents powering them. This approach includes digital agents and physical agents like mobile robots, creating a highly connected and collaborative multi-AI-agent system
• Interoperability: Siemens' AI agents are designed to integrate with third-party agents, enabling unprecedented levels of interoperability. This ensures that the system can adapt to various industrial environments and requirements.Industrial AI agent marketplace: To accelerate adoption and innovation, Siemens plans to create an industrial AI agent marketplace hub on the Siemens Xcelerator Marketplace. This will allow customers to access AI agents developed by both Siemens and third parties.

Applying agentic AI across the industrial value chain.

The Siemens Industrial Copilot, enhanced by Industrial AI agents, addresses every phase of the industrial value chain, from design to operations.

• Design Copilot: Available for NX CAD, this AI-powered assistant accelerates the product design process by helping users navigate complex data and perform multi-domain tasks more efficiently.
• Planning Copilot: This solution optimizes production planning, resource allocation, and scheduling through generative AI-powered insights, helping manufacturers maximize efficiency and minimize waste.
• Engineering Copilot: Available for TIA Portal, it enables engineers to generate automation code through natural language inputs, speeding up code generation while minimizing errors.
• Operations Copilot: Providing holistic insights into the entire plant, this copilot empowers shop floor operators, service technicians, and maintenance engineers to work more efficiently by querying machine data and receiving error resolution guidance through natural language.
• Services Copilot: The Maintenance Copilot Senseye offers expert-level equipment diagnostics without the need for specialized technical knowledge, supporting everything from reactive repairs to predictive and preventive strategies.

Addressing the skills gap with agentic AI

Siemens' Industrial AI agents are already delivering measurable results in both Siemens' own plants and customer implementations worldwide. In a factory environment, our Industrial AI agents connect different copilots and automate workflows across the entire value chain. This creates a unified approach that makes industrial AI accessible to everyone, regardless of their technical background or experience level.

We envision a future where Industrial AI agents work seamlessly alongside human workers, handling routine processes independently while enabling humans to focus on innovation, creativity, and complex problem-solving.