What challenges did Siemens face before AI implementation?

Need to accelerate automation code generation and reduce downtime on factory floors. Improve workforce productivity and knowledge transfer in manufacturing operations.

Source

MicrosoftProductionEvidence: Medium50/100

Siemens Industrial Copilot for Manufacturing Automation with Microsoft Azure AI Foundry

Use case typeEnergy operations automationUpdated Jun 13, 2026

Siemens partnered with Microsoft to develop Industrial Copilots deployed on the Siemens Xcelerator open digital business platform leveraging Azure OpenAI Service. The AI copilots assist engineers, operators, and decision-makers by translating machine and production data into actionable insights and recommendations with natural language interaction. Siemens Industrial Copilots serve automation engineers, software developers, and shop floor operators with use cases such as faster code generation, debugging, application development acceleration, and real-time troubleshooting. The copilots have resulted in up to 60% faster code generation, significant reduction in simulation times, and up to 60% reduction in unplanned downtime, enhancing operational efficiency and knowledge transfer. Siemens plans to add multimodal capabilities for image and text diagnosis and explore agent-based autonomous automation.

Organization: Siemens
Industry: Manufacturing
Location: Germany
Published: January 2026

Reported outcomes

Time: Up to 60% higher

Time & speed

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 60% increase

Automate Show BlogJan 14, 2026Blog postInferred claimMedium evidence strength

Engineers can generate and debug complex automation code up to 60% faster, reducing simulation times from weeks to minutes.

Normalized claim

Time: 60% decrease

Automate Show BlogJan 14, 2026Blog postInferred claimMedium evidence strength

Unplanned downtime reduced by up to 60%, saving costs and improving production reliability.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Siemens
Provider: Microsoft
Maturity: Production
Linked source: Automate Show Blog

Siemens partnered with Microsoft to develop Industrial Copilots deployed on the Siemens Xcelerator open digital business platform leveraging Azure OpenAI Service

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI-assisted automation code generation
2Industrial operational insights
3Downtime reduction

Developed Industrial Copilots with Microsoft using Azure OpenAI Service and deployed on Siemens Xcelerator platform.
The copilots read proprietary operational data including manuals, logs, drawings, and translate them into natural language insights for faster debugging and decision-making.
Integration with production and automation systems enables real-time troubleshooting and code optimization.

Technologies

Azure AI Foundry Azure OpenAI Service Microsoft Copilot Siemens Xcelerator

Architecture

Siemens Industrial Copilots are deployed on the Siemens Xcelerator open digital business platform and leverage Microsoft Azure OpenAI Service. They integrate with factory automation systems and use proprietary operational data for contextualized AI assistance. Future plans include multimodal AI processing and autonomous agent-based automation.

Sources & evidence1

Evidence: Medium50/100Evidence strength