Maintenance Matters Focus on: CMMS 14 | Plant & Works Engineering www.pwemag.co.uk April/May 2026 Fluke Corporation has introduced a new suite of AI-powered capabilities for its eMaint CMMS/EAM platform. Now available in beta to eMaint customers, these enhancements embed purpose-built artificial intelligence directly into daily maintenance workflows. The new features enable teams to quickly access and analyse asset data, convert asset documentation into actionable tasks and procedures, and generate work requests using voice input. Designed for practical, real-world application rather than complex experimentation, the innovation was designed specifically from customer feedback of what slows them down every day. The beta features underscore Fluke’s focus on delivering AI that drives immediate value on the plant floor. “With this new version of eMaint, we’re bringing the power of artificial intelligence directly to maintenance professionals who keep operations running,” said Jay Hack, General Manager, Fluke Corporation. “This beta release isn’t about experimentation. It’s about transforming the way maintenance work gets done by turning complex data and manuals into actionable insights, while helping teams make smarter, faster decisions. It marks a new era in maintenance management by redefining what efficiency and reliability look like across the industry.” The beta release introduces several highimpact AI capabilities designed to drive faster decisions, safer execution, and greater workforce efficiency. Instant answers from your own maintenance data: Talk to your data and instantly surface summarised insights across work orders, assets, parts, and maintenance history — all in one place. Refine, filter, or tailor AIgenerated responses to focus on what matters most, and access AI-powered answers drawn from your documents and maintenance data directly in the eMaint mobile app, complete with voice input and hands-free support for technicians in the field. Smarter work execution: SOP Builder autogenerates standard operating procedures and preventive maintenance tasks from manuals, document repositories, and other technical documents, which can reduce PM creation time by 50% or more. Once created, eMaint can prompt technicians to follow critical steps, improving consistency, safety, and knowledge capture across teams. Documentation made actionable: The AI capabilities in eMaint transform complex Original Equipment Manufacturer manuals into concise, on-demand guidance. This enables technicians to ask direct questions and receive clear, multilingual answers that boost speed and confidence across skill levels. It also enables hands-free work order creation via voice, automatically translating recordings into structured work order requests so issues are captured instantly in the flow of work. The release comes at a time when maintenance organisations face increasing pressure from skills gaps and workforce turnover. As experienced technicians retire, capturing and distributing knowledge has become a growing challenge across assetintensive industries. Fluke says its beta version of eMaint is already transforming maintenance in logistics and manufacturing by delivering faster access to documentation, clearer insights from complex manuals, and mobile-ready support. Designed to fit seamlessly into existing workflows, the first-generation release helps technicians work more efficiently without needing AI expertise. By simplifying information access and promoting consistent task execution, the technology augments—not replaces— human expertise, enabling teams to focus on higher-value problem-solving. The capabilities are available now in beta to select customers, with broader rollout planned after continued refinement. For further information on eMaint, please visit: https://www.fluke.com/ en-us/products/fluke-software/emaint-cmms AI powered features transform maintenance workflows CMMS launch connects machine health with plant performance Nulogy has launched Nulogy Maintenance, a computerised maintenance management system (CMMS) designed to connect machine health directly to plant performance data. In most manufacturing environments, maintenance and production run on separate systems. The gap creates a predictable failure mode where machines are over-or underserviced, unplanned downtime becomes a costly burden, and it’s difficult to prove whether maintenance activity directly improved output. Nulogy Maintenance eliminates these challenges by bringing both into a single ecosystem. Maintenance orders are automatically triggered by machine condition signals, usage data, and operator requests, rather than fixed calendar schedules, ensuring
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