Managing incidents with a CMMS: the advantages
How incident management changes with a CMMS: a single entry point, priorities and SLAs, statuses with alerts, conversion into work orders, and measuring the service.
Updated on 6 min read
- Incidents
- SLA
- Maintenance management
Incident management is the point where the most information gets lost across the whole maintenance operation, and almost never out of carelessness. It gets lost because the incident comes in through three different channels, each one keeps track its own way, and it ends up recorded in none of them.
Here are the concrete advantages of running it inside a CMMS, in the order they become noticeable.
A single entry point, even with several channels
A WhatsApp message to a technician, a phone call to the team lead, and an email to admin are three jobs nobody can count together. And what cannot be counted cannot be prioritized or assigned.
What a system solves is not banning the channels, which is impossible, but making sure they all end up on the same list. In GMAO Cloud, an incident can originate from the backend, from client access with its description and photo, or from a mailbox that the system empties and automatically converts into incidents, with a separate mailbox per type if needed.
The immediate effect is that, for the first time, there is a reliable list of what is pending.
The report arrives ready to act on
The second advantage is about quality, not quantity. A report that says “the hallway AC isn’t working” at eight in the morning forces someone to interpret, call, and ask before they can do anything.
When whoever reports it has a form, the report arrives with its description, the affected equipment flagged, and a photo. That saves one phone call per incident and, more importantly, avoids trips with the wrong material.
The incident also carries its type and subtype, its priority, the client, the address, the area, who is handling it, and its communication channel — the information that later lets you analyze where the work is coming from.
Priorities and deadlines you can see
Here is the advantage most appreciated by whoever is answerable for a service. Incident statuses can carry an associated maximum time, and there is an SLA entity with its own name, priority, and time limit.
The practical consequence is that whatever has missed its deadline shows up in a list, instead of being discovered when the client calls again. And it lets you tell what is urgent from what is just loud: not everything marked urgent is, and not everything urgent gets marked that way.
Incident timing is also recorded, so afterward you can measure how long it really takes to respond and to resolve — two different figures, and both matter.
The status change notifies on its own
A good part of the admin work in incident management is keeping track of where things stand. Calls, emails, “I’ll confirm once it’s done.”
Statuses can carry their associated email, so a status change triggers a notification to the interested party without anyone writing it. You can control which statuses are visible to the client and which stay internal only, and mark the ones that should not notify — just as important as the opposite: notifying on every internal movement turns notifications into noise and people stop reading them.
The notification system also covers alerting the technician when work is assigned to them, by push and by email.
From incident to work order, without typing it twice
An incident is not a job: it is the request for a job. The advantage of having them in the same system is that the conversion is direct.
From the incident comes the work order with its technician and its date, carrying over the client, the address, and the affected equipment. And if prior approval is needed, a quote is generated, which in turn creates the work order once accepted, without rewriting anything. The work order keeps its origin, so you can always trace back from the work done to the report that triggered it.
The technician resolves with context
The advantage that most changes the outcome in the field: when the technician opens the work order in the app they have the equipment’s history, its documentation, and the anomalies left open last time right in front of them.
Many incidents are repeats of something already seen. Knowing that before starting is the difference between fixing it and patching it again. And since the app works without coverage, that information stays available in a basement or a plant room.
The service becomes measurable
With incidents logged by type, priority, timing, and outcome, reports answer questions that used to be opinions: which type of failure keeps repeating, which sites or clients concentrate incidents, how long it takes to respond and to resolve, how many hours go into corrective work versus preventive.
That last ratio is the most useful of all. If corrective work does not go down despite having a preventive plan, the plan is looking at what does not fail, and that only shows up by comparing the two series.
The incident born from an inspection
There is a source of incidents almost never considered when setting up the system, and it ends up being one of the most valuable: the ones the technician detects while doing something else.
During a preventive visit, things get noticed. A worn belt, a small leak, a reading that is not bad but is getting worse. If that can only be jotted down as a text comment on the work order, it gets lost: nobody rereads the comments on closed work orders.
In GMAO Cloud, checklist fields support a minimum and maximum value, so an out-of-range reading gets logged as an anomaly on the spot, and report templates treat anomalies as their own entity. From there it can become an incident with its own priority and owner.
That is the real path by which a preventive maintenance plan starts reducing corrective work: not by inspecting more, but because what gets seen during the inspection ends up as planned work instead of a breakdown three months later.
What needs looking after
That statuses mean something. Defining five clear statuses with an agreed meaning is a one-hour conversation that avoids months of ambiguity about what “in progress” means.
That notifications do not turn into noise. Notifying about everything is the same as notifying about nothing.
That the client has their own access. A good part of the calls do not ask for anything: they ask how things are going. With their own access, that call never comes in.
That a detected anomaly turns into something. If a technician logs a secondary problem and nobody follows up on it, they will stop logging it.
If you want to see the full workflow applied to your own case, you can request a demo.