Risk-Based Work Order Management System Patent Grant

ChangeBridge: Patent Grants - Business Methods (G06Q)

Published March 31st, 2026

Detected March 31st, 2026

Summary

The USPTO granted patent US12591861B2 to Rockwell Automation Technologies, Inc. for a work order management system that uses AI to prioritize maintenance tasks based on risk analysis of industrial assets. The system monitors plant floor equipment and dynamically adjusts work order scheduling to optimize maintenance outcomes. The patent contains 20 claims covering the risk-based prioritization methodology.

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What changed

USPTO granted patent US12591861B2 (Kind B2) to Rockwell Automation Technologies, Inc. on March 31, 2026. The patent covers a work order management system that uses AI (including generative AI) to analyze monitored data from industrial assets, determine performance risks, and automatically generate or update maintenance work orders based on those risk determinations. The system dynamically prioritizes and reschedules work orders as operational conditions change.

Patent grants do not create compliance obligations for other entities. However, manufacturers and technology companies developing similar AI-based maintenance or work order management systems should review this patent to understand the scope of Rockwell's intellectual property claims. The patent's CPC classifications (G06Q 10/20, G06Q 10/04, G06Q 10/0635, G06Q 10/087) indicate it falls within the business methods category for operations management. No immediate regulatory action is required.

Source document (simplified)

← USPTO Patent Grants

Risk management based work order prioritization

Grant US12591861B2 Kind: B2 Mar 31, 2026

Assignee

ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventors

Liudmila Domakhina, Mohammad Esmalifalak, Stuart Fergusson, Min Hua Yu, Hyo Jung S Son, Tareq Al-Masri

Abstract

A work order management system automates the process of scheduling maintenance tasks and generating corresponding work orders via analysis of monitored data generated by the industrial assets. The work order management system can monitor status and operational data from industrial devices on the plant floor and initiate creation of work orders based on a determination that the monitored industrial data indicates a current or predicted performance risk requiring investigation or maintenance. The system can leverage generative artificial intelligence (AI) or other types of AI in connection with determining when and how to schedule a maintenance task intended to mitigate asset risk. The system dynamically updates the work orders in response to changing contextual conditions within the plant to ensure that work order priority, scheduling, and resource allocations satisfy a defined maintenance optimization criterion.