Do I need a CMMS? An honest self-assessment for your maintenance team

Look at three things: how many assets you are responsible for, how much unplanned downtime you are absorbing, and whether your spreadsheet is starting to break down. If one person can still hold the asset list and every PM date in their head, and the same sheet is genuinely up to date for everyone, you may not need a CMMS yet. Once any of those three outgrows a shared sheet, a lightweight system usually pays for itself in forgotten-PM breakdowns avoided alone.

For a small team on one shift, a shared spreadsheet is a legitimate starting point and costs nothing. It breaks down when several people need the same live view, when PM dates go stale because updating is manual, or when nobody is sure which copy is current. A free tool gives you the same low commitment with a shared board and a schedule that surfaces tasks when due, which removes the single biggest spreadsheet failure mode.

There is no magic number, because it depends on failure rate and PM load, not asset count alone. The honest test is whether one person can reliably remember every asset, its history, and its next PM date. Ten heavily used machines on tight PM intervals can justify a system faster than fifty simple ones that rarely move.

A log records what happened; a CMMS also drives what happens next. It keeps work orders in one shared queue, surfaces preventive maintenance when it is due rather than after it is missed, and ties both back to a specific asset so history accumulates in one place. That shift from recording to scheduling and assigning is the reason teams move off a plain log.

For one plant on one device, a free tracker covers the core work order board, PM schedule, and asset register with no caps to plan around. You pay when you outgrow it: multiple lines or sites that need one shared number, automatic data capture instead of manual entry, or roles and an audit trail across an organization. Start free, and let real use rather than a sales pitch tell you when you have outgrown it.

The moment the manual parts become the bottleneck. If your team is hand-logging every shift, hunting down micro-stop causes on foot, and raising every work order manually after spotting a loss, a platform like Fabrico earns its place: it reads OEE straight off your PLCs, uses computer vision to find the true cause of each micro-stop with video evidence, and auto-routes a detected loss into an assigned work order, plant-wide and across sites, EU-built with EU data residency. Booking a Fabrico demo is the fastest way to see that closed loop on your own lines.