Maintenance
Incident histories, procedures and interventions: ground where AI helps prepare the maintenance decision without replacing the technician’s judgement.
Sector — Industry & manufacturing
AI in industry, close to the shop floor.
Maintenance, quality, scheduling: we start from the real work of your production teams to say, case by case, where AI saves time and where it mostly adds risk.
Typically for an industrial site of 50 to 500 people.
Request a diagnosticon request
EXAMPLE · fictional data
production · example
OrderProductionInspection
01 — Value zones
Where the diagnostic typically finds value in industry.
Quality
Inspection and non-conformities: classify, document and escalate deviations faster, while keeping a verifiable trail.
Scheduling
Sequencing and workload: arbitrating multiple constraints remains a human decision; AI prepares the scenarios.
Technical documentation
Operating procedures and job sheets: find and draft the right information at the right workstation, in the language of the shop floor.
01
The floor, before the promise
We observe workstations, rework and inspections as they actually happen. The method is anchored in real operations, not in a vendor brochure.
EXAMPLE · fictional data
shop floor · example
StationInspectionRework
02
Impact, feasibility, risk
Each use case is scored against visible, challengeable criteria—including the operating cost and the supervision load it places on your teams.
EXAMPLE · fictional data
scoring · example
Impact86
Feasibility72
Risk41
03
Decide station by station
One verdict per use case, with an owner and a stop condition. Some workstations are better left manual: we write it down rather than hide it.
EXAMPLE · fictional data
verdict · example
Launch01Controlled pilot02Not yet03
Confidential · EN / FR · on request
Start with the verdict.
Show us the work slowing your teams down. We will tell you plainly whether it deserves an AI solution.