Manufacturers boost productivity and speed with industrial Copilot
Schneider Electric, in collaboration with Microsoft, has developed and deployed an industrial Copilot solution integrated into its EcoStruxure Automation Expert Platform. Addressing operational inefficiencies, workforce skill gaps, and labor shortages prevalent in the manufacturing sector, the Copilot leverages Microsoft Azure AI Foundry and generative AI capabilities. It automates repetitive tasks, provides real-time operational recommendations, simplifies coding for production line modifications, and assists in predictive maintenance. Empowering operators, engineers, and managers, this assistant helps reduce mental strain, bridge competence gaps, and drive faster time-to-market for industrial innovations. The Copilot's integration of real-time data access and AI recommendations reduces machine downtime and operational errors while optimizing manufacturing workflows across sectors such as automotive and broader industrial automation.
- 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
- controlengeurope.com
Schneider Electric, in collaboration with Microsoft, has developed and deployed an industrial Copilot solution integrated into its EcoStruxure Automation Expert Platform
Primary read
Use case focus
Showing 3 of 4
- 1AI-powered Copilot for industrial automation workflows
- 2Predictive maintenance with real-time troubleshooting
- 3Automated code generation and error checking in manufacturing setups
- Developed an industrial Copilot with Microsoft using Azure AI Foundry and generative AI technologies.
- Integrated the Copilot into the EcoStruxure Automation Expert Platform to connect across hardware and software environments.
- Automated repetitive engineering and coding tasks, and delivered real-time operational recommendations.
- Enabled predictive maintenance and rapid troubleshooting to minimize machine downtime.
- Empowered engineers to add production line functionalities using pre-generated code and error-checking assistance.
- Boosted productivity and workforce efficiency in manufacturing operations.
- Significantly reduced machine downtime through predictive maintenance and troubleshooting.
Architecture
The industrial Copilot, co-developed with Microsoft, utilizes Azure AI Foundry's generative AI and integrates with Schneider Electric’s EcoStruxure Automation Expert Platform. It is embedded across hardware and software environments, connects to real-time manufacturing data, and uses predictive maintenance models to recommend interventions or automate code generation. The architecture ensures collaboration between AI Copilot, operators, and engineers for continuous optimization.
Sources & evidence6
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Technical implementation details available
- Multiple corroborating sources available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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