An engineer driving three hours to reset a simple breaker is half a day lost on both sides, for a fault that was not really a fault. Blind troubleshooting, without a first remote triage, costs hours on the road and spare parts swapped out of caution. Mimorian guides technicians through their diagnostic reasoning to separate what can be fixed on site from what genuinely needs a visit.
This waste hits hardest at sites with no in-house maintenance expert: small factories, workshops, SMEs served by a contractor or an integrator. When nobody in front of the machine knows how to run a first diagnosis, a van gets sent out. Often for nothing.
Blind troubleshooting: a hidden cost on the shop floor
The scene repeats itself. An industrial SME sees a line stop. Nobody on site knows where to start. The contractor gets an emergency call and sends a technician, sometimes hours away by road. Once there, the diagnosis comes quickly: a tripped breaker, a loose sensor connection, a parameter out of range. Nothing that justified the trip.
Many stoppages start this simply. According to a Vanson Bourne study for ServiceMax, 23% of unplanned downtime in industry stems from human error, against 9% in other sectors [Source: Vanson Bourne/ServiceMax, 2017]. A large share of call-outs originate from a trivial cause, an operating or handling error, not a genuine failure.
The cost adds up fast: hours on the road, the client's line standing idle while they wait, and spare parts replaced out of caution because the real cause is unknown. On a site running at pace, an hour of downtime runs into hundreds of euros, sometimes more.
Why should the first diagnosis happen before the trip?
The real problem is that information sits in the wrong place. The person in front of the machine does not know what to check. The person who knows, the technician, is miles away. Between the two: a phone call and a lot of guesswork.
A guided pre-diagnosis closes that gap. The operator describes the symptom in their own words, photographs the component in question, and the tool points to the first checks to run. Many cases resolve this way, without sending anyone out. When the fault goes beyond that level, the request reaches the technician with the context already gathered: they can respond remotely, or head out knowing what to check and which part to bring.
💡 The trip that pays off is the one you prepared for: arriving already knowing the likely causes and the part to bring changes the whole return on an intervention.
What a pre-diagnosis changes in practice
Fewer trips for nothing. Fewer parts swapped out of caution. The technician keeps their time and their road miles for the faults that genuinely need their level of expertise.
Even the most advanced maintenance technologies show measured gains. The Predictive Maintenance 4.0 study by PwC and Mainnovation found an average 9% increase in machine availability among equipped manufacturers [Source: PwC/Mainnovation, 2018]. The most accessible gain, though, sits elsewhere, and it costs almost nothing: avoiding the trips that serve no purpose.
The human stays in charge. The tool proposes a triage, the technician decides. The aim is not to remove the trip when it is needed, but to avoid the one that is not.
Frequently asked questions
Q: Does a remote pre-diagnosis replace the technician?
A: No. It filters out the simple cases and prepares the trips that genuinely matter. The technician stays the decision-maker and steps in when the fault calls for it, better prepared.
Q: Do the machines need to be connected to run this triage?
A: No. The triage starts from what the operator describes and a photo of a component, not from a permanent connection to the equipment.
Conclusion
Three points worth remembering.
- Many trips are avoidable: a significant share of stoppages stems from simple causes that a first triage would have identified.
- Information sits in the wrong place: the person who sees the machine does not know, the person who knows does not see it.
- A prepared trip is the only one worth making: arriving already knowing what to check saves the road, the parts and the time.
Next step for a maintenance manager or a contractor: measure, over a month, the share of call-outs whose real cause could have been identified before setting off.
To go further, read our complete guide: trustworthy AI for industrial maintenance.