What challenges did Rockwell Automation face before AI implementation?

Manufacturers face growing pressure to increase operational agility and efficiency. Traditional OT (operational technology) and IT systems were siloed, limiting data integration and analytic capabilities. There was a need for secure, scalable, and real-time connectivity across all factory assets and locations. Legacy systems made it difficult to implement AI-driven solutions for predictive maintenance and operational optimization.

Source

MicrosoftProductionEvidence: Low40/100

Rockwell Automation boosts industrial operations with intelligent factory connectivity

Use case typeIndustrial inspectionUpdated Jun 13, 2026

Rockwell Automation partnered with Microsoft to transform factory operations using a unified OT/IT data approach. By integrating Rockwell's FactoryTalk Optix with Azure IoT Operations and Azure Arc, manufacturers are able to gain real-time insights and AI-driven analytics across the production floor. The edge-to-cloud architecture leverages secure, interoperable industrial protocols and enables predictive maintenance, improved monitoring, and automated deployment with Copilot. The solution brings together previously siloed operational and information systems, supporting scalability from pilot to full production deployment. Manufacturers can now replicate successes more easily across different plants and geographies. Enhanced security, automated observability, and centralized management streamline operations, reduce integration complexity, and drive efficiency gains. The partnership exemplifies how industrial expertise, when coupled with adaptive cloud solutions, can break down data silos and unlock new levels of innovation for the manufacturing industry.

Organization: Rockwell Automation
Industry: Manufacturing
Location: United States
Published: November 2025

Planned next steps

The source says the pilot could deliver: Scaled from pilot to multi-site deployment.

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

Customer: Rockwell Automation
Provider: Microsoft
Maturity: Production
Linked source: Microsoft Tech Community

The solution brings together previously siloed operational and information systems, supporting scalability from pilot to full production deployment

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Real-time Unified Factory Operations Monitoring
2Predictive Maintenance with Edge-to-Cloud Analytics
3Automated Deployment and Observability in Manufacturing

Manufacturers face growing pressure to increase operational agility and efficiency.
Traditional OT (operational technology) and IT systems were siloed, limiting data integration and analytic capabilities.
There was a need for secure, scalable, and real-time connectivity across all factory assets and locations.
Legacy systems made it difficult to implement AI-driven solutions for predictive maintenance and operational optimization.

Rockwell Automation integrated FactoryTalk Optix with Microsoft Azure IoT Operations and Azure Arc for unified data connectivity and control.
FactoryTalk Optix provided visualization and analytics-ready data through secure interoperability and smart-object modeling.
Azure IoT Operations enabled secure edge-to-cloud orchestration using industry protocols like OPC UA and MQTT.
Copilot tools facilitated AI-driven automation for observability, deployment, and predictive analytics across facilities.

Technologies

Azure Azure Arc Copilot

Improved operational efficiency and reduced downtime through real-time monitoring and predictive analytics.

Architecture

FactoryTalk Optix is integrated with Azure IoT Operations and Azure Arc, using standards like OPC UA and MQTT to collect, model, and relay industrial data from OT assets to the Azure cloud. Akri and WASM connectors enable integration of cameras and third-party devices. Copilot-driven automation manages observability and deployment pipelines. The architecture supports edge-to-cloud orchestration, centralized monitoring, and replicable, secure deployments across hybrid environments.

Sources & evidence1

Evidence: Low40/100Evidence strength