Preventive maintenance is one of those processes everyone agrees matters and almost nobody tracks well. The schedule lives in a spreadsheet, a calendar reminder, or someone's memory. It mostly works, until a piece of equipment fails and the first question is unanswerable: was it actually serviced on time, and what did we spend on it this year?
Treat maintenance as a process, not a task list
A single maintenance visit isn't one task. It's several: inspection, diagnosis, parts procurement if something needs replacing, the repair itself, and a final test before the equipment goes back into service. Each of those has a different owner and a different amount of time it should reasonably take.
Once maintenance is modeled that way, with an owner and a target time on each stage, you can tell the difference between 'the whole visit took too long' and 'parts procurement is the actual bottleneck, every time.' That distinction is where the useful insight lives.
Attach the real cost to the real equipment
Every maintenance visit consumes something real: a technician's time, replacement parts, sometimes rented equipment. If each stage carries its planned resource use, the visit gets a real budget before it even starts, and a real actual cost once it's done.
Do that consistently, and answering 'what did we spend on this generator this year' stops being an afternoon of digging through invoices. It's a number that was already being tracked the whole time.
Make the schedule self-enforcing
A maintenance schedule that depends on someone remembering to start it will eventually get missed. If the process itself can run on a recurring schedule, and stages activate automatically once their dependencies clear, nobody has to remember. The system knows what's due and what's overdue, and that becomes visible on a dashboard rather than depending on any one person's memory.