Schneider Electric & Microsoft unveil Azure AI factory tools

Schneider Electric has introduced new manufacturing tools developed with Microsoft using Azure AI, aimed at industrial engineering and operations.

The launch centres on Schneider Electric's EcoStruxure Automation Expert platform, described as the operational layer in a broader software-based manufacturing workflow. Microsoft provides the cloud and AI services through Azure, with the combined system designed to link engineering, simulation, commissioning and plant operations.

The companies are presenting the work as part of a long-running partnership focused on industrial automation. Manufacturers, they argue, are under pressure from changing product requirements, fragile supply chains and the need to modernise production systems without disrupting safety or compliance.

According to Schneider Electric, the system lets manufacturers write automation logic once and deploy it across different environments without reworking it for each site or hardware setup. The approach is intended to support standardised logic, simulation before deployment, and traceability across the production lifecycle.

Industrial copilot

A central part of the announcement is what Schneider Electric calls an industrial copilot for manufacturers, built with Azure AI. The tool uses specialised AI agents overseen by an orchestrator to automate routine design choices and validate automation logic before deployment.

The companies say this reduces the number of separate tools and handovers typically involved in industrial automation projects. Instead of splitting engineering design, simulation, commissioning and operations into distinct stages, the joint setup is intended to create a single workflow that can be tracked from initial design to live production.

Schneider Electric said engineering teams using the industrial copilot have reported time savings of up to 50% on control configuration and documentation work. It added that production line changes that previously took weeks could now be completed in hours.

Those claims highlight one of the main commercial questions around industrial AI: whether manufacturers can move from pilot projects to measurable operational gains. Here, the companies are pointing to reduced engineering effort and faster production adjustments as evidence that AI-led automation can directly improve plant efficiency.

"From agentic design to software defined operations, Microsoft and Schneider Electric demonstrate a single, interoperable workflow that validates, simulates, and deploys automation logic consistently across cloud and edge," said Gwenaelle Huet, EVP Industrial Automation at Schneider Electric.

Hydrogen project

The collaboration also includes a live deployment with H2E Power, an Indian company working in green hydrogen. Schneider Electric said the platform has delivered more than 6,000 hours of stable autonomous operation in a solid oxide electrolysis setting, a demanding industrial process because of its high-temperature operating environment.

In that project, Schneider Electric said the technology cut the levelised cost of hydrogen by up to 10%, which it estimated at roughly €500,000 a year for a typical 10 MW plant.

The hydrogen example offers one of the clearest illustrations of how the companies want to frame the partnership. Rather than presenting AI as a generic digital layer, they are linking it to specific industrial processes where simulation, automation and real-time operational control can affect economics as well as reliability.

Roles defined

Microsoft's role in the collaboration is to provide the cloud and AI framework that manages and analyses industrial processes. Schneider Electric contributes the automation software and industrial integration needed to run production systems in regulated and safety-critical environments.

That division of labour reflects a wider pattern in the industrial technology sector, where equipment and automation groups are increasingly teaming up with cloud providers to embed AI into plant systems. The challenge in these partnerships is often less about building models and more about connecting them to real operations, existing equipment and compliance requirements.

Deployment model

Schneider Electric said EcoStruxure Automation Expert is designed to run across on-premises, edge and hybrid environments. The company argues that this consistency matters for manufacturers with multiple sites and mixed hardware estates, where proprietary systems can make standardisation and upgrades difficult.

The announcement also underlines how software-defined automation is becoming a more prominent theme in manufacturing. By separating automation logic from underlying hardware, vendors are trying to give plant operators more flexibility over upgrades, deployment and system changes while cutting engineering time.

For Microsoft, the work is part of a broader push to embed Azure AI more deeply into industrial use cases, particularly where businesses want to combine data analysis with direct operational decision-making. For Schneider Electric, it supports efforts to move automation customers towards more open, software-led production architectures.

"With agentic design, we're closing the loop from engineering intent to operational reality, automating decisions, validating early, and handing off reusable automation packages that Schneider Electric can simulate and deploy consistently across cloud and edge," added Rodriguez.