Equipment availability
Fewer unplanned stops, a line that keeps its commitments.
Maintenance · Decision support
Your intervention reports and failure history already hold part of the levers to improve your maintenance. Assets 4.0 identifies the exploitable opportunities and, where they justify it, builds the decision-support system suited to your data.
Your objectives
Fewer unplanned stops, a line that keeps its commitments.
A budget under control, without over-maintenance or costly breakdowns.
Anticipate recurring failures rather than absorb them.
Decisions backed by facts, not by the memory of long-serving staff.
The current barrier
Your CMMS has been filling up for years. But the history stays hard to use : interventions are logged to keep a trace, rarely to support a decision. The knowledge about your equipment exists, scattered across reports, spreadsheets and people’s memory.

A defect logged on an asset a year ago : has it progressed ? The answer is somewhere in the CMMS, but no one has the time to reconstruct it.
Where AI could help
No generic promise : what follows is what your history could enable. The audit determines which of these are genuinely exploitable in your case.
Cross criticality, history and cost to help decide what to address first.
Surface equipment whose behaviour departs from its own history.
Gather the real state of the fleet before a technical shutdown, from past interventions.
The AI opportunity audit
Assets 4.0 analyses your objectives, processes, data and constraints, then identifies and prioritises the opportunities, with a value estimate and a roadmap.
The audit may also conclude that better reporting, a business rule or a simple automation is enough, or that your data is not yet exploitable. That is what makes it an honest diagnosis, not a sales pitch.
The approach
Objectives, data, prioritised opportunities, ROI and roadmap.
If an opportunity justifies it, the decision-support system is built on your data.
Roll-out on your infrastructure, adoption by the teams, follow-up.
On a fleet where inspection reports were piling up as PDFs, the goal was simple : rebuild a per-asset history to prepare the technical shutdown without digging through the archives. The audit scoped what was exploitable ; the system linked each report to the right asset.

The same fleet, the same data, but usable at the moment of deciding.
Frequently asked
Not necessarily. The approach starts from what you already have : your CMMS history, your intervention and inspection reports. Sensors can complete the setup if the audit shows they add clear value, but they are not the starting point.
That is exactly what the audit is for : assessing the real quality of your data and what it enables. A partial CMMS is often still exploitable for a first scope. If the data is not enough, we say so, and we point out what to improve first.
Yes. Processing can run on your own infrastructure, without sending anything to a public cloud. The OT/IT boundary is preserved. This is set at scoping, according to your requirements.
No. We connect to your CMMS and your files to make use of the data. We replace neither your CMMS nor your ERP.
Let’s talk about your fleet
Describe your situation : your CMMS, your objectives, your constraints. We come back to you to scope an opportunity audit.
AI for industry
Let’s talk about your fleet
Describe your situation : we come back to you to scope an opportunity audit.