MicrosoftProductionEvidence: Low40/100

Schneider Electric launches AI Copilot for industrial automation with Microsoft Azure AI Foundry

Use case typeEnergy operations automationUpdated Jun 13, 2026

Schneider Electric, a leader in industrial automation and smart building technologies, developed an AI copilot powered by generative AI in collaboration with Microsoft. The solution integrates Microsoft Azure AI Foundry with Schneider Electric's EcoStruxure Automation Expert platform. This AI copilot eliminates repetitive tasks, automates code generation and validation, and provides real-time recommendations, diagnostics, and predictive maintenance to improve operational efficiency. It supports faster deployment of complex industrial automation systems and enhances collaboration across hardware and software platforms.

Organization
Schneider Electric
Industry
Manufacturing
Location
France
Published
May 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Schneider Electric
Provider
Microsoft
Maturity
Production
Linked source
ARC Advisory Group

This AI copilot eliminates repetitive tasks, automates code generation and validation, and provides real-time recommendations, diagnostics, and predictive maintenance to improve operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

  • 1AI Copilot
  • 2Industrial Automation
  • 3Generative AI
  • Developed an AI copilot using Microsoft Azure AI Foundry integrated into the EcoStruxure Automation Expert platform.
  • Automated code generation and validation to speed up the deployment of production processes.
  • Provided real-time, context-aware recommendations, troubleshooting support, and predictive maintenance tools.
  • Enabled collaboration across hardware and software platforms within a unified environment.
Technologies
Microsoft Azure AI FoundryEcoStruxure Automation Expert
  • Improved operational agility and workforce productivity.
  • Faster time-to-market for new manufacturing processes.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Type: Blog PostPublished: May 16, 2025Publisher: ARC Advisory GroupEvidence: VendorConfidence: Medium
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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