AI for industrial maintenance
Steer your industrial maintenance from the data you already have.
Every year, hundreds of inspections from dozens of contractors pile up in your files. Our systems read them and link each to its equipment. They turn them into decisions: what to watch, what to replace, when to act, before the failure.
Our services
- Custom design
- Opportunity audit
- AI agents
- Automation
- Business applications
You are looking to…
A concrete maintenance need
Read your inspection reports
Turn NDT, requalification and OEM health-check reports into structured, usable data, per asset, without re-keying.
See the use caseRebuild an equipment’s history
Reconstruct a clear maintenance log per asset from old reports and records.
See the use caseTrack actions and recommendations
Gather the recommendations from every intervention, track their closure and flag deadlines early.
See the use caseSpot recurring failures
Detect defects that recur on the same equipment types across the fleet.
See the use caseThe short answer
How does AI help industrial maintenance?
In industrial maintenance, AI serves to put your existing data to work rather than replace your teams.
Assets 4.0 designs systems that read your inspection reports: non-destructive testing, ultrasonic wall-thickness readings, requalifications, OEM health checks. They extract each equipment’s condition and located defects, then link them to the right asset and its history.
From there, a technical manager sees, at a glance, which equipment is degrading. They also see which findings are still open and what to prioritise at the next shutdown.
The system computes criticality, feeds a risk-based inspection approach and keeps a fleet view up to date, site by site. Prioritising repairs, requalification calls and safety decisions stay with your experts: the system assists, it does not decide.
In brief
- Every test, requalification or OEM health check produces a report. That evidence ends up scattered: a PDF per contractor, a spreadsheet per site.
- Traceability is mandated by the standards. The French order of 20 November 2017, COFREND / EN ISO 9712 certification, and the API 510 / 570 / 653 inspection codes.
- The data exists, but it is neither gathered nor usable; the history has to be rebuilt by hand.
- Putting existing material to work shifts you from reactive repair to multi-site fleet steering, with no new tool.
The problem
The knowledge of your equipment exists, but it is not usable
An industrial group means thousands of assets. And hundreds of inspections a year, from as many contractors. Each produces a serious report. They pile up, rarely linked to the equipment or its history.
Reports that lie dormant
NDT, requalifications and OEM health checks stack up in shared drives or the CMMS. No one connects them to one another. Making use of your CMMS data.
No view of the asset base
No way to know, at a given moment, which equipment is at risk. Or which to prioritise at the next shutdown.
The failure seen too late
Often, the signs were already written in black and white in a report. They are discovered after the breakdown.
Use cases
Concrete use cases for maintenance teams
Each use case follows the same logic. Start from a real problem, put your existing reports and data to work, return a result your experts validate. Open the ones that concern you.
01Read inspection reports in bulk
NDT, integrity-test and requalification reports arrive from many contractors, in many layouts. Their content stays scattered.
It reads each report and extracts the equipment, date, condition, located defects and wall-thickness readings. All are brought to one common structure.
PDF reports from your contractors, ultrasonic (UT) and other NDT results, requalification records and OEM health checks.
A usable base per asset, with every finding linked back to its source report. Your experts keep the final say.
02Rebuild an equipment’s history
The full story of a piece of equipment is spread across years of reports and records. Rebuilding it by hand is slow and error-prone.
It reconstructs a clear log per asset from old reports: interventions, findings, repairs and requalifications, ordered over time.
Historical inspection reports, CMMS work orders and intervention records, requalification files.
A living maintenance log for each asset, ready to consult before an intervention, an audit or a shutdown.
03Track actions and recommendations
Recommendations issued in reports are easy to lose. A repair to schedule, a re-inspection deadline, a follow-up that slips.
It gathers the recommendations from every intervention, tracks their status through to closure and flags deadlines early.
Findings and recommendations extracted from reports, CMMS work orders, due dates and intervention status.
Nothing falls through the cracks: open actions are visible per asset and per site, with their source finding attached.
04Detect recurring failures
The same defect can recur on similar equipment across sites. The pattern stays invisible from isolated reports.
It compares findings across the fleet. It surfaces defects that recur on the same equipment types, so preventive work is targeted.
Findings and defect types extracted from reports, equipment categories, sites and dates.
Recurring weaknesses made visible, to shift effort from repeated repairs to preventive action where it counts.
05Build the scope of a turnaround
A shutdown scope is often built from habit and memory. That means over-inspecting some assets and missing others.
It consolidates history and reports, surfaces degrading equipment and open actions. The resulting scope is grounded in condition and risk.
CMMS history, inspection reports, thickness trends against minimums, criticality and open recommendations.
A shutdown scope built on evidence, supporting a risk-based inspection approach. Your experts confirm the final plan.
06Steer a multi-site asset base
From head office, equipment condition is not comparable across sites. Only folders of separate reports.
It keeps a fleet view up to date, consulted by group then by site. Indicators are computed on the chosen scope.
Per-asset condition and criticality, open actions, sites and equipment categories.
A steerable view of the asset base, from group down to a single piece of equipment, with sources kept.
How the data flows
From your maintenance data to a fleet view
The principle is constant: put to work what your maintenance already produces. Data enters from your sources, it is read and structured, then returned in a form that is directly useful.
- Inspection reports (PDF)
- CMMS / EAM exports
- NDT & UT readings
- OEM health checks
- SharePoint / drives
- Reads your reports
- Extracts condition & defects
- Links each to its equipment
- Computes criticality
- Per-asset history
- Prioritised actions
- Multi-site fleet view
How it works
A four-step approach
We start from your real environment. The system is built around your reports, your CMMS and your equipment.
Connect
We connect the system to your existing sources: CMMS or EAM, shared drives, SharePoint, PDF reports and Excel. No migration.
Understand
The system reads your reports and extracts the equipment, date, condition, located defects and thickness readings.
Link
Each finding is linked to its equipment and its history, classified, and its criticality computed, with the source kept.
Deliver
You get answers in your workflow: per-asset history, prioritised actions and a fleet view, reviewed and validated by your teams.
A precise need in mind? Let’s assess it together, starting from your real reports and equipment.
Assess my use caseAround your existing tools
A system that adds to your environment, without replacing it
Our systems graft onto what your maintenance teams already use. Depending on your environment, they can be connected to:
- Your CMMS or EAM, where work orders, equipment and history already live.
- Shared drives and SharePoint, where inspection reports are filed.
- PDF reports from your contractors and inspection bodies.
- Excel spreadsheets and CMMS exports used day to day.
- Requalification and inspection records kept per site.
“Can be connected to” describes an integration capability studied case by case, based on your real tools. It is not a compatibility commitment for a named product.
Human control & sovereignty
Your experts keep control
An AI system useful to a maintenance team equips the expert. It does not stand in for their responsibility.
- The AI assists, it does not decide. Prioritising repairs, requalification calls and safety decisions stay with your experts and inspection bodies.
- Every finding points back to its source report, checkable document by document.
- Missing data is flagged as missing, not invented.
- Your data stays with you; the system can be deployed close to your data, according to your confidentiality constraints.
Our approach
What our work rests on
We prefer to describe our method rather than put forward figures that cannot be checked. Here is what our maintenance projects are built on.
Built from your existing data
Every system starts from your real reports, CMMS and equipment.
Sources kept
Everything the system returns points back to the original report, so it stays verifiable by your experts.
Expertise in demanding environments
Assets 4.0 works where equipment integrity and traceability are critical to daily operations.
Assets 4.0 also develops Integrity Loop, our AI software to track inspection reports and steer asset integrity over time.
Discover Integrity LoopSectors
Expertise in regulated environments
The same approach applies where equipment traceability and availability matter most: food, pharmaceutical and medical.
Food
Keep lines available without adding tracking burden. Your reports and CMMS feed equipment history, useful too for IFS, BRC and HACCP audits.
Pharmaceutical
Rebuild equipment history and trace interventions from your existing data, to support requalifications and compliance in a GMP environment.
Medical
Centralise OEM health checks and inspection reports to steer a multi-site asset base, anticipate deadlines and secure device traceability.
Resources
To go further
Inspection report tracking
Read inspection reports in bulk. Summarise them per asset and steer plant condition from head office.
See the solutionIntegrity Loop
The Assets 4.0 software to put inspection reports to work and track the integrity of your assets.
DiscoverAI Systems Design
The custom offer from Assets 4.0 to design AI systems, across every domain and every role.
See the serviceFrequently asked questions
What maintenance teams ask us
What is predictive maintenance?
Predictive maintenance anticipates failure by tracking the real condition of each piece of equipment over time. That differs from repairing after the breakdown (corrective) or on a fixed schedule (preventive). By comparing findings from one inspection to the next, our systems surface the equipment that is degrading. Your teams can act before the unplanned shutdown.
What is non-destructive testing (NDT)?
Non-destructive testing assesses the condition of equipment without damaging it: ultrasonic testing (UT), including wall-thickness readings, dye penetrant, radiography and magnetic particle. Each test produces a report. Our systems read those reports, extract the readings and defects, and put them to work per asset.
What is a CMMS, and do we have to replace ours?
A CMMS (computerised maintenance management system) centralises equipment, work orders, intervention history and spare-parts stock. An EAM (enterprise asset management) system extends this across the full asset life cycle and multiple sites. You do not have to replace either. Our systems read your reports and connect to your existing CMMS or EAM to enrich it, with no migration.
What is risk-based inspection (RBI)?
Risk-based inspection (RBI) prioritises inspections according to the risk carried by each piece of equipment. Our systems feed an RBI approach by making each asset’s condition, defects and evolution visible from your existing reports. Inspection effort goes where the risk is highest.
What are the API 510, 570 and 653 codes?
They are reference in-service inspection codes: API 510 for pressure vessels, API 570 for piping and API 653 for storage tanks. When your reports follow these frameworks, our systems structure the extracted findings in line with them, so the history stays consistent code by code.
What regulations govern inspection traceability?
In France, the order of 20 November 2017 sets the in-service monitoring of pressure equipment and mandates traceability of inspections and requalifications. Inspection work relies on certified operators (COFREND, EN ISO 9712). Our systems help you keep that traceability from your existing reports; they do not carry out the testing or certify it.
What is a turnaround, and how do you help prepare one?
A turnaround is a planned shutdown during which inspections and work that are impossible while running get done. Its scope is built from CMMS history and inspection reports. Our systems consolidate that existing material, surface degrading equipment and open actions, and help build a scope grounded in condition rather than habit.
Does the AI make maintenance decisions or invent data?
No. The system gathers, structures and highlights. It extracts what is written in the report, links each finding to its equipment and flags what to review. Prioritising repairs, requalification calls and safety decisions stay with your teams and inspection bodies. Missing data is flagged as missing, not invented.
Does our data leave for the cloud, and what formats can you read?
By default, no. Your data stays with you and processing can run locally, on your machine or your network. Our systems read the PDF reports from your contractors, spreadsheets and exports from your CMMS. A new report format is calibrated on your real documents.
How do we start a project with Assets 4.0?
On simple request. We start from your real reports and equipment, then frame together the first building block to put in place, most often inspection report tracking. From there the system is extended site by site, on the same data. Contact us to assess your use case.
Maintenance Intelligence
We build the AI system for your maintenance challenges.
Equipment availability, cost of ownership, regulatory deadlines. We design the custom system that answers them, starting from your reports, CMMS and history. An asset-base view to decide with.
Calculate your ROILet’s put your maintenance data to work.
Start from your reports and real equipment. We frame the first building block together, with no commitment.
