AI that speaks maintenance
Maintenance work, minus the extra steps. With eMaint AI Suite, your team can get answers faster, draft SOPs automatically, and log work requests by voice. Get more time where it matters.
eMaint AI Assistant
AI from maintenance for maintenance
Built on your data, not the internet
No guesses, no generic output. Your tech gets a torque spec straight from your own OEM manual.
Always cited, always reviewable
Every drafted SOP links back to the document it came from, every step of the procedure is ready to review before you approve.
Built into the work, no bolted on
A spoken work request is logged on the floor—asset, location, problem—without leaving the job.
Secure and audit ready from day one
Built for regulated industries, aligned with GDPR and CCPA, with every AI action traceable.
eMaint AI Suite
Generic AI tools weren’t built for maintenance. eMaint AI Suite was.
Your maintenance work day made easier
Your team has questions all day. About a torque spec in a 600-page manual. About last month’s downtime by line. About when an asset was last serviced.
The AI Assistant finds the information you need, pulled from your documentation and data. On desktop or mobile.
- Troubleshoot issues faster and with better results.
- Onboard new technicians faster and with greater ease.
- Reduce reliance on tribal knowledge.
Find answers in any document
Find what you need in minutes, not hours. Ask a question about a spec, a procedure or spare part. AI Assistant searches across hundreds or even thousands of documents at once to find the details you need.
- Ask questions in plain language.
- Every AI answer comes with a citation.
- This AI speaks your team’s language.
Find answers to your data (in Beta)
Your CMMS/EAM finally answers back. Get an immediate summarized answer about asset performance, costs, downtime trends, and team workload without spending hours chasing your BI team.
- Understand past failures and fixes quickly.
- Send a query, get the trend or chart. It’s that easy.
- Respond faster to leadership questions.
SOP Building (AI-driven SOP generation) (in Beta)
Upload a manual. The draft comes back, structured the way your team writes SOPs. Your senior tech edits. Your team approves. Days of work, done before lunch.
- Save days or even weeks of SOP and PM creation time.
- One SOP, every site, every shift.
- Reduce delays caused by limited availability of senior staff.
Voice to Work Order Request (mobile) (in Beta)
“Bearing running hot on Line 4, high priority.”
Your tech speaks one sentence. eMaint AI listens and fills in the right Work Request fields automatically: Asset, Location, Problem, Criticality. Form filled.
From there, your team reviews, approves, and converts the request into a work order.
eMaint Mobile
Let’s hear what you have to say
Do it now and forget it
“Hey, the chiller on the roof is making a noise” — said out loud, logged automatically, in the workflow your team already uses. No paper. No “I’ll write it up later.”
Anyone, anywhere
Operators, supervisors, and contractors all spot issues that need to get logged. Voice to Work Order gives them a fast way to do so, so that nothing slips through the cracks.
Contextual AI for maintenance
When a technician says “bearing running hot on Line 4, high priority,” eMaint AI knows bearing is a part, Line 4 is an asset location, and high priority means criticality.
Ready when you are
Gloved hands, running equipment, and noisy floors mean your team can’t always stop to type. Voice to Work Order doesn’t ask them to.
Built for trust and security
AI is only as good as the trust you can place in it. The eMaint AI Suite is built for regulated and safety-critical environments, with enterprise-grade security and compliance from day one.
- Compliant by design.
- Your data stays yours.
- No black box, ever.
Find out more
Get the workday your team deserves
FAQs
Six common questions we can answer right now
eMaint AI performs three core functions: 1) Detects anomalies in condition monitoring sensor data and recommends work orders before failures occur, 2) Prioritizes your maintenance backlog based on asset criticality, failure risk, and production impact, 3) Identifies failure patterns across equipment and suggests PM interval adjustments. It's specific operational intelligence, not vague "AI insights."
Fair question—maintenance has seen plenty of software promises that don't deliver. eMaint AI is built on a CMMS platform that's been running in production for over 40 years. The AI addresses specific maintenance problems with measurable outcomes.
Humans stay in control. eMaint AI recommends—your team decides. AI flags an anomaly and suggests a work order; your technician or planner reviews the context and approves it. AI prioritizes your backlog; your manager adjusts based on operational needs AI can't see. It's augmentation, not automation.
eMaint AI is built on a proven operational platform, not added during system instability. All AI recommendations are transparent—you see the reasoning behind suggestions. And because it's human-in-the-loop, nothing executes without approval. AI informs decisions but humans still have the final call.
eMaint AI analyzes your maintenance history: work orders, failures, sensor data, asset performance. It learns from your operational reality, not generic industry datasets. The system identifies patterns specific to your equipment, environment, and failure modes. Insights become more relevant the longer it runs.
Fluke has built industrial reliability tools for decades—vibration analysis, thermal imaging, condition monitoring. That deep knowledge informs how eMaint applies AI to maintenance. We understand failure physics, not just data patterns. AI trained with reliability engineering principles behaves differently than generic algorithms applied to maintenance problems.