MicrosoftExpanded

Thyssenkrupp boosts shopfloor efficiency with Siemens Industrial Copilot

Siemens has expanded the capabilities of its Industrial Copilot, developed with Microsoft Azure OpenAI Service, delivering multimodal and agent-based automation in manufacturing. Now used by thyssenkrupp Automation Engineering, the Copilot enables shopfloor workers to interact with machines, streamline maintenance and error handling, and optimize operations. Key features include on-premises deployment for strong data security, multimodal input for engineering tasks, and complex process automation using agent-based concepts. The Copilot assembles information from multiple sources—like ECAD documents and external systems—interprets user goals, dynamically plans, and executes tasks, helping to reduce downtime and improve productivity. This advancement in industrial AI is making complex automation more accessible and secure in real-world manufacturing settings.

Location
Germany
Published
November 2024

Reported outcomes

Strategic outcomes

New product / capabilityEnabled multimodal industrial AI automationSpeed & agilityStreamlined complex engineering task executionCustomer experience & trustImproved shopfloor worker supportRisk & complianceDelivered secure on-premises deployment

Primary read

Use case focus

Showing 3 of 3

  • 1Shopfloor copilot
  • 2Agent-based maintenance assistant
  • 3Engineering automation
  • Complex automation projects require streamlined planning and execution for manufacturing efficiency.
  • Shopfloor workers need real-time support for machine maintenance and troubleshooting.
  • Manufacturers face strict data privacy and on-premise operational requirements.
  • Engineering projects involve multiple disconnected data sources and tedious manual steps.
  • Deployed Siemens Industrial Copilot using Microsoft Azure OpenAI Service for generative AI capabilities.
  • Enabled agent-based automation to break down and execute complex, multi-step tasks.
  • Implemented multimodal (text, image, data) input and processing for engineering use cases.
  • Powered on-premises hardware/software bundles for secure, local data processing.
  • thyssenkrupp Automation Engineering improves efficiency and shopfloor productivity with Copilot.
  • Automated maintenance, error handling, and engineering changes reduced downtime.
  • Secure on-premises architecture meets industrial data privacy requirements.
  • Broader accessibility and usability of industrial AI for shopfloor workers.
Architecture

Industrial Copilot combines Siemens automation elements with Microsoft Azure OpenAI-based natural language processing. Multimodal input and NIM microservices run locally on IPC hardware, enabling real-time agentic planning and execution of production tasks. Data is kept on-premises for security. Copilot interacts with ECAD and external systems for process automation.

Implementation partners1
Sources & evidence1
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.
  • Cited source last checked Jun 12, 2026 — ok (0/1 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Groundedness: Unavailable

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