Rockwell Automation
Rockwell Automation has 8 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Key partners include Kalypso, Paige.AI.
Hyperscaler mix
See whether Rockwell Automation's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Rockwell Automation builds AI
Build / Buy / Compose across this company's documented cases
7 of 8 cases classified (88%) · Compare all use-case types
Reported outcomes
1 case reports measurable results
+85%
Risk, reliability & safety
median · 1 metric
−25%
Time & speed
median · 1 metric
Medians of results published in Rockwell Automation cases, normalized for comparability. See all benchmarks →
Evidence persistence
5 of 5 judgeable cases are still publicly referenced · 5 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Rockwell Automation uses across visible cases
Copilot & AI Assistants appears in 4 of 8 indexed cases; 21 named technologies are mentioned, led by Azure.
Capability mix
All Use Cases (8)
Rockwell Automation boosts industrial operations with intelligent factory connectivity
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.
Manufacturing Leaders Transform AI Innovation and Process Automation
Microsoft Azure has launched Azure AI Foundry, a unified platform designed to accelerate the adoption, customization, and deployment of AI solutions in manufacturing and other industries. The platform provides an extensive AI model catalog, integration with Microsoft Fabric for data analytics, and Azure AI Agent Service for business process automation. Industry collaborations with Sight Machine, Rockwell Automation, Bayer, Paige.ai, NTT DATA, and others enable specialized use cases and solutions. New features include a unified AI toolchain, enhanced model benchmarking, streamlined governance, and responsible AI compliance. Azure AI Foundry supports multimodal applications, RAG solutions, and integrates with developer tools like GitHub. The advancements aim to reduce AI solution time-to-market and improve operational and business outcomes across manufacturing, healthcare, and finance.
Industry leaders drive manufacturing innovation with adapted AI models
Several leading manufacturers, including partners such as Cerence, Siemens, Rockwell Automation, and Sight Machine, collaborated with Microsoft to bring industry-specific, fine-tuned AI models to the manufacturing sector.These adapted AI models, accessible via the Azure AI model catalog, were developed to address manufacturing’s unique needs, including process optimization, asset troubleshooting, compliance, and support for frontline workers.The models can be deployed through Microsoft Copilot Studio and by Microsoft partners, allowing manufacturers to configure AI agents for their specific use cases.The adapted models enable automation of regulatory compliance checking, support predictive maintenance, and scale AI adoption across the enterprise.By leveraging Microsoft’s cloud platform and an ecosystem of industry partners, manufacturers can accelerate digital innovation, operational efficiency, and business outcomes.
Rockwell Automation boosts frontline productivity in food and beverage manufacturing
Rockwell Automation developed and deployed the FT Optix Food & Beverage AI model, in partnership with Microsoft, to provide real-time recommendations and knowledge to factory floor...
Rockwell and Microsoft reshape factory operations with AI
Rockwell Automation and Microsoft entered a collaborative effort targeting industrial automation in manufacturing. By connecting Rockwell's FactoryTalk products with Azure IoT Oper...
Rockwell Automation unifies industrial data and operations for digital agility
Rockwell Automation and Microsoft have expanded their partnership to deliver cloud-based solutions that connect development, operations, and maintenance teams across the manufacturing sector. By leveraging the Azure cloud platform, they provide a singular, trusted data environment that eliminates data silos and allows for digital prototyping and secure collaboration without extensive investment in physical equipment.The partnership targets significant challenges in industrial digital transformation, including the need for increased digital agility, reduction of expensive IT infrastructure, and enhancement of collaboration between information technology (IT) and operational technology (OT) teams.Solutions co-developed by Rockwell Automation and Microsoft are already available through the Azure Marketplace, offering ready-made use cases for industries like Food & Beverage, Household and Personal Care, and Life Sciences.This initiative promises to simplify industrial transformation, accelerate business outcomes, and improve resilience for manufacturers by enabling real-time data access and secure sharing, as demonstrated by customers like Fonterra.Customers gain accelerated innovation, improved productivity, and optimized operations through these integrated, edge-to-cloud solutions with ongoing co-innovation.
Rockwell Automation improved asset uptime with AI-powered predictive maintenance
Rockwell Automation, in partnership with Kalypso, introduced predictive maintenance capabilities for industrial manufacturing operations using Microsoft Azure AI and Azure IoT technologies.Manufacturers face steep costs from unplanned equipment failures, asset downtime, and aging infrastructure. By leveraging machine data, the solution predicts maintenance needs and reduces failure risks. The AI-driven approach integrates with asset management platforms for real-time condition monitoring and anomaly detection.Edge-to-cloud integration and advanced analytics enable proactive maintenance scheduling, minimizing both downtime and total cost of ownership. The deployment also allows rapid value realization, typically producing measurable business improvements within 8 to 12 weeks.Several case examples highlighted production gains, such as $1M+ per site, increased asset availability, and reduced lost time. The implementation supports both reliability-centered maintenance and rapid root cause analysis, fostering a proactive maintenance culture.Innovative technologies such as FactoryTalk Analytics GuardianAI and machine vision detection were integrated to augment standard monitoring approaches, delivering comprehensive asset management for manufacturers.
Rockwell Automation accelerates industrial design with cloud-native development suite
Rockwell Automation developed FactoryTalk Design Studio, a cloud-native, containerized application for the manufacturing sector, in partnership with Microsoft.The company transformed traditional on-premises industrial automation software into a Software-as-a-Service (SaaS) offering running entirely on Microsoft Azure. This new platform enables geographically distributed development teams to collaborate efficiently and streamlines the automation project lifecycle from design to deployment.Technologies utilized include Azure Kubernetes Service for orchestration, Azure Cosmos DB for high-performance data storage, Azure Application Gateway for security, Azure Blob Storage, Microsoft Defender for Cloud, Terraform, and development integration with Visual Studio Code and GitHub.The technical architecture relies on containerized microservices, Kubernetes clusters, and strict security measures implemented through Azure Defender and Application Gateway. This approach provides scalable, resilient, and secure access for customers developing automation solutions.Business impacts include faster software release cycles, improved developer productivity, easier collaboration for complex global projects, and positioning for the introduction of generative AI (via Azure OpenAI Service) in future automation projects.