Schneider Electric Unveils Microsoft-Powered Industrial AI
Schneider Electric has launched an industrial copilot developed in partnership with Microsoft, integrating Azure AI Foundry with Schneider's industrial automation platforms.
The collaboration targets manufacturing organisations facing pressure to enhance efficiency while managing labour shortages.
Crucially, the AI assistant will operate within Schneider's EcoStruxure Automation Expert Platform, focusing on task automation and application development support. The technology aims to accelerate system deployment while improving long-term operational performance.
“We are at a pivotal moment where industry must achieve unprecedented levels of flexibility and efficiency with generative AI (Gen AI),” says Aurelien LeSant, Chief Technology Officer for Schneider's Industrial Automation division.
“Our Copilot, developed in collaboration with Microsoft and leveraging our deep domain expertise, is designed to improve industrial competitiveness by boosting worker confidence, simplifying processes and bridging skills gaps.”
Providing a foundation for industrial AI
The industrial copilot builds upon Schneider Electric's automation infrastructure, particularly the EcoStruxure Automation Expert platform, which the company describes as the world's first open software-defined automation solution.
This foundation delivers the technological architecture required to support Gen AI capabilities in industrial environments where system reliability remains essential.
Integration across hardware and software platforms enables the copilot to access real-time operational data, forming the basis for its recommendations, troubleshooting suggestions and predictive maintenance capabilities. Such connectivity represents a requirement for industrial AI applications, which must maintain contextual awareness of plant conditions to provide guidance.
“This innovative solution proactively assists engineers in adding complex functionalities, such as new production lines, with simple steps by pre-generating code, checking for errors and improving the reuse of existing libraries,” Aurelien explains. “It allows engineers and operators to leverage Schneider Electric's industrial Data Sets to bring systems online faster and optimise them for long-term success.”
The technical architecture combines Microsoft's cloud AI infrastructure with Schneider's industrial domain knowledge, creating what both companies position as a practical implementation of Gen AI for manufacturing and process industries.
- Workforce Empowerment - Reducing mental strain on workers and providing support during high turnover periods
- Operational Efficiency - Automating routine tasks to allow workers to focus on complex activities requiring judgment
- Maintenance Optimisation - Minimising equipment downtime through immediate troubleshooting and predictive maintenance
Integration across hardware and software platforms enables the copilot to access real-time operational data, which forms the basis for its recommendations, troubleshooting suggestions and predictive maintenance capabilities. This connectivity represents a core requirement for industrial AI applications, which must remain contextually aware of plant conditions to provide meaningful guidance.
“This innovative solution proactively assists engineers in adding complex functionalities, such as new production lines, with simple steps by pre-generating code, checking for errors, and improving the reuse of existing libraries,” Aurelien explains. “It allows engineers and operators to leverage Schneider Electric’s industrial Data Sets to bring systems online faster and optimise them for long-term success.”
The technical architecture merges Microsoft’s cloud AI infrastructure with Schneider’s industrial domain knowledge, creating what both companies position as a practical implementation of Gen AI for manufacturing and process industries.
Microsoft partnership targets Schneider Electric workforce empowerment amid labour shortages
The announcement arrives during increasing adoption of industrial copilots across manufacturing sectors. These AI assistants are designed to address industrial challenges, which include workforce shortages and knowledge retention during periods of high employee turnover.
This is especially relevant to the data centre industry, with the average age of an employee being 60 years old.
For Schneider Electric, which maintains operations in over 100 countries with approximately 150,000 employees and an extensive partner network, the copilot represents an extension of its industrial automation portfolio emphasising open, software-defined systems.
It aims to reduce mental strain on workers by automating routine tasks, enabling human operators to focus on activities requiring judgment and experience. Additionally, the system integrates data from multiple sources to provide context-aware recommendations for operational improvements.
Our Copilot allows engineers and operators to leverage Schneider Electric's industrial Data Sets to bring systems online faster and optimise them for long-term success.
Schneider Electric positions the technology as a solution for organisations struggling with workforce challenges while needing to maintain operational excellence. With this in mind, the copilot provides support for engineers during complex system expansions while preserving institutional knowledge that might otherwise be lost.
Aurelien adds: “Our Copilot allows engineers and operators to leverage Schneider Electric's industrial Data Sets to bring systems online faster and optimise them for long-term success.”
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