Expanding Siemens Industrial AI: A New Era of Productivity

Expanding Siemens Industrial AI: A New Era of Productivity

At Automate 2025 in Detroit, Siemens unveiled its expanded Industrial AI offering, introducing advanced AI agents within the Industrial Copilot ecosystem. These agents are designed to go beyond traditional assistants, performing complete tasks autonomously. The new framework features an orchestrator that coordinates specialized agents, enabling complex operations across the industrial value chain. The overarching goal is clear: to increase productivity by up to 50%, which represents a massive leap forward in industrial automation.

How the AI Agent Architecture Works

The AI agent architecture from Siemens is built to seamlessly integrate with existing systems. By separating the user-facing Industrial Copilots from the AI agents behind the scenes, Siemens ensures smooth operation. The architecture supports both digital and physical agents, such as mobile robots, collaborating within a unified ecosystem. This multi-agent system promises interoperability, allowing both Siemens and third-party agents to work cohesively. By enabling this level of integration, Siemens is setting the stage for a future where automation and AI converge to manage complex tasks effortlessly.

Introducing the Siemens Industrial Copilot

The Siemens Industrial Copilot is a versatile tool designed to optimize every phase of the industrial value chain. It has been enhanced by AI agents, offering dedicated solutions across multiple domains.

Design Copilot: Transforming Product Design

The Design Copilot helps engineers streamline product design by managing complex data and evaluating trade-offs more efficiently. Available for NX CAD, this AI-powered assistant allows users to interact in natural language, simplifying tasks and reducing errors. Additionally, Siemens is developing a Hydrogen Configurator, which will assist engineers in designing hydrogen production plants by generating accurate layouts and block flow diagrams.

Planning Copilot: Enhancing Production Scheduling

Currently in pre-release, the Planning Copilot leverages generative AI to optimize production planning, resource allocation, and scheduling. By providing insights into the most efficient approaches, this copilot helps manufacturers minimize waste and maximize output. The solution already has positive testimonials from users, emphasizing its potential to drive significant improvements in manufacturing efficiency.

Engineering Copilot: Automating Automation Code

The Engineering Copilot for TIA Portal significantly accelerates automation engineering. With natural language processing, this AI assistant aids engineers in creating automation code, such as SCL code, more quickly and accurately. This product, available as a managed service in 2025, is already improving code quality and reducing development time at Siemens’ global facilities.

Operations Copilot: Supporting Shop Floor Efficiency

The Operations Copilot offers real-time insights into plant operations, allowing operators, technicians, and engineers to query machine data and resolve issues using natural language. This AI solution can be deployed at the machine level, offering operational support both in the control room and on the shop floor. Additionally, Simatic eaSie assists in process industries, improving maintenance and operations.

Services Copilot: Streamlining Maintenance with AI

The Maintenance Copilot Senseye enhances predictive maintenance strategies by diagnosing equipment issues without the need for specialized knowledge. Recently expanded to cover the entire maintenance lifecycle, this solution aids in reactive repairs as well as predictive and preventive maintenance. Pilot implementations have shown up to a 25% reduction in reactive maintenance time, improving operational efficiency.

Addressing the Skills Gap in Manufacturing

Siemens’ Industrial Copilot system is already in use at multiple sites worldwide, including Siemens’ own facilities and customer locations. For example, at thyssenkrupp Automation Engineering, engineers have reported significant improvements in code development time and quality. Similarly, at Siemens’ Bad Neustadt facility, the Insights Hub Production Copilot is enhancing production data organization, supporting better decision-making in manufacturing operations. These real-world applications underscore how the Industrial Copilot system addresses the critical skills gap in modern manufacturing by automating routine tasks and providing actionable insights.