• New partnership brings connected workers to industrial maintenance, repair and operations
    Aaron Merkin
  • Russ Fadel

Fuel for Thought

New partnership brings connected workers to industrial maintenance, repair and operations

Aug 07 2024

Fluke Reliability and Augmentir have embarked on a formal partnership to integrate the Augmentir connected worker platform with Fluke Reliability’s AI-powered enterprise asset management solution to improve Maintenance, Repair, and Operations (MRO) for industrial customers while increasing productivity and enhancing employee experiences.

Augmentir provides highly advanced connected worker solutions, offering a range of AI-powered connected worker tools that assist industrial organisations in digitising and optimising frontline work processes while delivering practical skills management, training, and collaborative digital workflows.

Fluke Reliability allows users to take on a connected approach to their reliability strategies by combining hardware, AI-powered software and the eMaint platform, Fluke Reliability’s revolutionary CMMS, EAM, and IIoT software, within one workflow. The solution enables customers to switch from reactive to predictive maintenance strategies by appraising the condition of their assets and using their AI diagnostic engine so faults can be forecasted as much as six months ahead of time.

The new partnership enables industrial maintenance and operations sections to effectively engage in integrated digital operations at the plant. Augmentir enhances efficiency with digital tools that lower onboarding while raising productivity. Fluke Reliability facilitates better-informed decision-making, so personnel work proactively, rather than reactively. Both parties within the new partnership prioritise the end-user while improving overall operational performance.

Augmentir has been added to Fluke Reliability’s Industry and Technology Partner Program, designed to help clients to integrate better and automate connected reliability workflows for improved operations.


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