Pillar · Maintenance Intelligence

Artificial intelligence for your industrial maintenance.

Your maintenance knowledge already exists, scattered across reports, spreadsheets and people's heads. We turn it into technical memory, action tracking and decision support, without replacing your tools.

Maintenance Intelligence is the family of AI systems Lucens Conseil & Coaching builds for industrial maintenance: reading and using your existing reports, rebuilding each asset's history, tracking actions and recommendations, spotting recurring failures, and steering the condition of your asset base. These systems sit on top of your CMMS and current tools; they feed them, they do not replace them.

What this pillar covers

From scattered data to a maintenance decision

One common thread: put to work what you already produce. Here are the building blocks of the pillar, starting with the most developed one.

Centerpiece

Inspection report tracking

Read your existing inspection reports in bulk (NDT, integrity tests, requalifications, OEM health checks), summarize them per asset, and steer plant condition from head office.

Available See the solution
Building block

Equipment history

Rebuild a clear maintenance log per asset from old reports and records: interventions, findings, repairs, over time.

On request
Building block

Maintenance report analysis

Extract the useful content from heterogeneous records and bring it to one common, comparable structure.

On request
Building block

Action and recommendation tracking

Stop losing actions: gather the recommendations from interventions, track their closure, and flag deadlines before they hit.

On request
Building block

Recurring failure detection

Spot, across the base, the defects that keep coming back on the same equipment types, so preventive effort lands where it counts.

On request
Building block

AI and CMMS integration

Connect these summaries to your existing CMMS to enrich it, with no migration and no tool change for your teams.

On request

The problem

The knowledge of your equipment exists, but you cannot use it

Every intervention, every inspection, every turnaround produces solid information. But it ends up scattered: PDFs by provider, spreadsheets by site, incomplete histories, and knowledge that walks out the door when a technician leaves. When a decision needs preparing, people reopen the files one by one.

The result: maintenance works in reaction rather than anticipation, recommendations get lost, and the technical direction steers a base it only ever sees as a hand-rebuilt snapshot. The problem is not a lack of data. It is that the data is neither gathered, nor tied to the right assets, nor tracked over time.

The chain we cover

From report received to equipment history

Maintenance is a chain. Our systems connect it end to end, from what already exists.

01Report received
02Read and extract
03Match to the asset
04Classify and rate
05Actions to track
06History and steering

How we work

Custom, on top of what you already run

Consulting, build and training are not separate offers: they are how we deliver on this pillar.

We start from your real reports and tools, not a generic product. We scope the need with you, design and integrate the system on top of your existing environment, then train your teams so they keep control. Your data stays yours, the validation of critical findings stays with your experts, and the tools we build belong to you.

Frequently asked questions

What maintenance teams ask us

Do we have to replace our CMMS?

No. Our systems are an overlay: they use your reports and feed your existing tools, CMMS included, with no migration and no replacement. The goal is to add value to what you already have.

Which building block should we start with?

Usually inspection report tracking: it is the most developed block and the fastest way to a consolidated view. The other blocks (history, actions, recurring failures) are then built on the same data.

Does the AI make maintenance decisions for us?

No. It gathers, structures and surfaces. The technical decision and its validation stay with your teams and experts. The system informs judgment, it does not replace it.

How long before a first result?

As soon as a first batch of reports is provided, a per-asset summary can be produced on that scope, then extended site by site, without interrupting your operations.

Let's put your maintenance data to work.

Start from your real reports and equipment. We scope the first building block together, with no commitment.

Let's talk about managing your assets