Fluke adds AI tools to eMaint to aid maintenance teams

Fluke has rolled out new artificial intelligence features for its eMaint CMMS and EAM software, with a beta release now available to existing customers. It is positioning the update as a shift toward an AI-led platform embedded in day-to-day maintenance work.

The update targets maintenance teams dealing with staff shortages and skills gaps, while also facing pressure to keep assets running as experienced technicians retire, taking undocumented knowledge with them. The new functions were built based on customer feedback about tasks that slow down technicians and planners.

eMaint is used to manage work orders, preventive maintenance schedules, asset records and parts information. The beta adds AI functions that work across maintenance history, documents and technician workflows.

Data And Documents

One set of features focuses on maintenance data already stored in eMaint. Users can ask questions and receive summarised responses drawn from work orders, asset information, parts and maintenance history, with options to refine and filter AI-generated results.

The mobile app extends that approach, providing AI-based answers from documents and maintenance data. It also adds voice input and hands-free support aimed at technicians working in the field.

A second area centres on generating procedures and tasks from existing documentation. Fluke's SOP Builder can auto-generate standard operating procedures and preventive maintenance tasks from manuals, document repositories, and other technical documents. Fluke said it can reduce the time required to create preventive maintenance by 50% or more.

After procedures are created, eMaint can prompt technicians to follow critical steps during execution. Fluke said this improves consistency, safety and knowledge capture across teams. The features align with a broader shift in maintenance software toward structured workflows that reduce variation between sites and shifts.

Manuals To Guidance

A third set of features uses AI to turn manufacturer documentation into short guidance that technicians can query on demand. The system can convert OEM manuals into concise answers and respond in multiple languages.

The beta also includes voice-based work request creation. Technicians can record a message, and the software translates it into a structured work order request to capture issues quickly while they are on the move and the equipment is in front of them.

The release comes as many industrial and logistics operators try to do more with fewer people. Workforce turnover and recruiting challenges have increased the focus on tools that capture institutional knowledge and make it available when needed. Maintenance leaders have also been investing in mobile tools to reduce the time technicians spend searching for information or returning to desks.

The beta is available now to select customers, with a wider rollout expected after further refinement. Early users include logistics and manufacturing organisations.

In announcing the update, Fluke argued that AI in maintenance should focus on common tasks such as finding prior work, extracting relevant instructions and drafting repeatable procedures. It described the approach as augmenting technicians rather than replacing them, with an emphasis on consistent execution and easier access to guidance.

Jay Hack, General Manager at Fluke, described the change as a move away from experimental AI toward tools embedded in the working day.

"With this new version of eMaint, we're bringing the power of artificial intelligence directly to maintenance professionals who keep operations running," said Hack. "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."

Fluke, founded in 1948, sells electronic test tools and software used in measurement and condition monitoring. Its customer base includes technicians, engineers, electricians and maintenance managers working across industrial and electrical equipment environments. Broader availability of AI features is expected following further work informed by feedback from the beta group.