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The planned integration between Augury’s Reliability Agent and Rockwell Automation’s Fiix MAX is designed to help manufacturers move more quickly from identifying equipment risks to executing maintenance actions.
Rockwell Automation and Augury announced a strategic technology and go-to-market partnership focused on connecting industrial AI insights with maintenance execution and production operations.
The joint offering will combine Augury’s Industrial AI Workforce with Rockwell Automation’s AI-infused software portfolio, including the Fiix computerized maintenance management system (CMMS) and FactoryTalk Optix. The companies aim to create a connected reliability workflow that moves from early issue detection and diagnosis to maintenance planning, execution, and continuous improvement.
Manufacturers are collecting increasing volumes of operational and equipment data, but often struggle to convert those insights into timely action. The partnership helps to address this gap by connecting machine health intelligence with the systems used to plan, manage, and execute maintenance work.
Connecting Reliability Insights with Maintenance Workflows
A central component of the partnership is the planned integration between Augury’s Reliability Agent and Rockwell Automation’s Fiix MAX, an AI-powered maintenance assistant.
Augury’s Reliability Agent continuously analyzes machine conditions, which helps to identify emerging equipment issues and recommends corrective actions. Fiix MAX can then help translate those recommendations into maintenance workflows, work orders, and execution activities.
Connecting the two agents is intended to help reduce the time between identifying a potential machine health problem and initiating the appropriate maintenance response. It can also provide maintenance teams with greater context when prioritizing work, assigning resources, and determining the actions needed to address developing equipment risks.
The integrated workflow is expected to support:
Machine Condition Analysis: Augury’s Reliability Agent analyzes equipment data to help identify developing machine health risks and diagnose potential issues.
Recommended Corrective Actions: The Reliability Agent provides maintenance and reliability teams with recommendations based on detected equipment conditions.
Maintenance Planning: Fiix MAX converts reliability recommendations into maintenance plans and actionable workflows.
Work Order Creation: Identified issues can be translated into work orders within the Fiix CMMS environment.
Execution Coordination: Maintenance teams can use the connected workflow to help organize, prioritize, and track corrective activities.
Continuous Improvement: Reliability findings, maintenance actions, and production information can be connected to help teams evaluate outcomes and improve future decisions.
Building a Foundation for Agentic Maintenance
The partnership also establishes a foundation for agentic AI workflows in which specialized agents perform different but connected functions across reliability and maintenance processes.
Rather than providing another isolated alert or dashboard, the joint approach is designed to coordinate machine health analysis, recommended actions, work management, and maintenance execution. This can help manufacturers to reduce the manual effort required to transfer information between reliability platforms, CMMS applications, and operational systems.
FactoryTalk Optix adds production and operational context to the workflow. By connecting machine health information with production data, can help manufacturers to assess equipment risks alongside factors, such as production schedules, asset criticality, operating conditions, and potential effects on throughput.
This broader context can help teams to prioritize maintenance activities according to their likely effect on plant performance rather than relying only on the severity of an individual equipment alert. It also extends the use of industrial AI beyond predictive maintenance by connecting reliability decisions with day-to-day production operations.
Closing the Insight-to-Action Gap
The partnership reflects a wider shift in industrial AI from systems that identify or explain problems toward systems that can coordinate the actions needed to address them. For maintenance organizations, this means linking predictive insights with work management applications, operational data, and established execution processes.
The effectiveness of this approach will depend on the quality and context of the underlying machine, maintenance, and production data, as well as the level of governance applied to AI-generated recommendations and actions. Human oversight will remain important, particularly when maintenance decisions involve safety, production risk, or critical assets.
The initial joint offering is expected to become available in September 2026. Rockwell Automation and Augury plan to provide additional commercialization details closer to the launch.
Related ARC Insights
The Rockwell Automation and Augury partnership reflects the growing use of agentic AI to connect asset health insights with maintenance planning, operational context, and execution workflows. Related ARC Advisory Group coverage includes:
Autonomous Asset Optimization: Bringing the Next Evolution of Asset Performance Management
Industrial AI in Action: Key Takeaways from ARC Forum 2025 on Data, Agents, and End-user Success
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