Solutions · Preventive maintenance
PM that gets smarter, not heavier.
Calendar based and meter based PM schedules with automatic work order generation, lead time aware forecasting, route grouping, and a clean migration path to condition based maintenance as your signal quality matures.
Asset health score
62 / 100
DecliningSignals analysed
Representative of the in-product Intelligence view, the signals that drove the decision are attached to the work order.
The problem
PM schedules drift, then fail
PM schedules start as a clean monthly plan and slowly drift. Some assets get serviced twice, some get missed. Routes are inefficient because no one is grouping by location. Forecasting parts demand for the next quarter is an exercise in guessing.
- Calendar drift means assets serviced too often or too late
- Routes are not grouped by location, technicians waste hours
- Parts demand forecasting is manual or absent
- No clear path from PM to condition based maintenance
What the platform brings
The capabilities behind the use case.
Concrete behaviours of the platform, not feature checkboxes. Each capability is exposed in the product and traceable to an operational outcome.
Dual-trigger schedules
Calendar-based (daily / weekly / monthly / custom) and meter-based (running hours, cycles, throughput) on the same asset. Whichever triggers first opens the WO.
AI interval recommendation
The platform compares your configured interval to actual MTBF and recent failures, and suggests a tighter interval on at-risk assets or a looser one where you are over-maintaining. Reviewer approves the change.
Lead-time-aware forecasting
Forecasts which PMs are due in the next 30 / 60 / 90 days, by craft and by location, with parts and labour rolled up so planners can stage materials ahead of time.
Recurring task schedules
Beyond PMs — recurring task templates auto-spawn safety walkdowns, inventory cycle counts, and inspection rounds on a cadence. Same engine, lighter ceremony.
Route grouping
Group PMs by location and craft to build technician routes that minimise travel and maximise on-tool time.
Migrate to condition-based
Where condition signals are reliable, convert calendar PMs to condition-based triggers without losing audit history. The schedule keeps its identity, just gets a smarter trigger.
Outcomes
The change you can put in front of a steering committee.
Operational platforms are bought to move metrics. These are the changes NextEAM is designed to drive on this use case once operating data starts flowing through it.
No more drift
Schedules are versioned, audited, and forecastable. The next 90 days of work is visible, not speculative.
Fewer wasted hours in transit
Route grouping recovers a meaningful chunk of technician time that calendar based PM scheduling loses to logistics.
Parts ready when work is
Forecasting feeds the procurement queue. Parts arrive before the work order, not after.
Trust and compliance
Versioned, signed, audit ready
Every change to a PM schedule is versioned with who, when, and why. Inspection forms are part of the schedule definition, not an afterthought.
Other ways teams use the platform
Predictive maintenance
AI scored asset health that flags degradation before failure, shifting work from reactive to planned.
Read moreWork order execution
End to end work order lifecycle on a single audit trail — from request through closure.
Read moreCompliance and audit
KSA aligned audit trails and one click compliance packs that replace weeks of pre audit data assembly.
Read more