Applied Asset IntelligenceSAP PM / EAMCMMS and reliability engineeringAutomation and applied AI

Maintenance,driven byintelligence.

Less downtime. More control.↓

SAP PM and EAM consulting for industrial plants. We structure your maintenance data, engineer the preventive and predictive programme that fits it, and automate the work around it. The AI runs on local models, so plant data never leaves your perimeter.

Book a discovery call Services
30+years of SAP PM practice
0third-party AI tools connected to your systems
3phases, one method, every engagement
24htypical reply to an enquiry
01 / Services

What we do

Four disciplines, deployed together or on their own, wherever your maintenance programme has the most to gain.

CMMS and SAP PM
implementation

From paper and Excel to a CMMS your teams actually use, or from an SAP PM nobody trusts to one that reflects the plant. We structure the technical hierarchy, define work order workflows and migrate historical data. The result is a maintenance programme that is auditable, reportable and ready to scale.

Scope
  • SAP PM / EAM, ECC and S/4HANA01
  • Excel to CMMS02
  • Technical hierarchy and equipment master03
  • Work order workflows04
  • Historical data migration05

Preventive maintenance
engineering

Preventive plans built on failure mode analysis and equipment criticality, not on habit. Your teams execute the right task, on the right asset, at the right interval. Over-maintenance disappears, and so does the maintenance nobody was doing.

Scope
  • FMECA01
  • Reliability centred maintenance02
  • Criticality ranking03
  • PM plan optimisation04
  • KPI framework05

Predictive maintenance
and condition monitoring

Vibration, temperature and oil analysis become a signal instead of an archive. We build the pipeline that cleans the data, the analysis that spots degradation early, and the alerting that reaches the right person. Interventions get planned rather than improvised.

Scope
  • Condition monitoring01
  • Vibration analysis02
  • Anomaly detection03
  • Data pipelines04
  • Live dashboards05

Automation and
applied AI

The repetitive SAP work gets automated: mass creation, controlled updates, extraction and reconciliation of PM data. On top of it we run AI where it earns its place, on local models, with purpose-built micro-software when no standard tool covers the job. Your engineers stop retyping and start deciding.

Scope
  • SAP GUI scripting01
  • Process automation02
  • Local AI models03
  • Data reconciliation04
  • Custom micro-software05
02 / Approach

How we work

Systematic by design. Every engagement follows the same three phases, from raw data to operating results.

Diagnose

We audit the maintenance programme, the data behind it and the criticality of your assets, then name the gap between where you are and what good looks like for your plant type and failure modes.

  • Technical hierarchy audit
  • Failure mode analysis
  • Data quality assessment
  • Criticality mapping

Structure

We design the system: CMMS architecture, PM task libraries, monitoring protocols and the data pipelines that feed them. Everything is documented, trainable and owned by your team from day one.

  • CMMS configuration
  • PM task library
  • Data pipeline design
  • KPI framework

Deploy

We implement, train and hand over, with dashboards running live and alerts reaching your team. You measure the result in unplanned downtime hours, not in consulting deliverables.

  • Live dashboard rollout
  • Team training
  • Model validation
  • Ongoing advisory
03 / Data and AI

AI without
exposing your data.

Maintenance data is confidential: asset lists, failure histories, plant topology. We work with it under rules written before the first line of code.

third-party AI connectors on your SAP, your CMMS or your ticketing system. Not one, not ever.

Perimeter

Your data stays where it lives

Analysis and AI assistance run on models hosted locally or on infrastructure you control. Nothing is sent to a public AI service to be processed, logged or used for training.

  • Local language models, offline capable
  • Work from controlled, documented exports
  • No AI connector on any client system
Method

Rules that hold up to an audit

Confidentiality is a working method, not a clause. Every engagement starts with a data handling scope you sign off on, and ends with deletion.

  • Minimised datasets, anonymised where identity is not needed
  • Retention limited to the engagement, deletion on closure
  • GDPR and your industrial confidentiality clauses, applied by default
Practice

Current AI, applied where it pays

We track what the field actually delivers and use it, in a delivery method built for how engineering works now. Where a spreadsheet is the better answer, we say so.

  • Retrieval on your own documentation, agents for the repetitive half of the day
  • Machine-readable specifications, deliverables produced from data and templates
  • Scripts, prompts and procedures documented and handed over
04 / Differentiators

Why AAI Maquine

A two-partner firm, built so the people who scope the work are the people who do it.

Dual expertise

Functional depth, automation in-house

Most maintenance consultants understand the process or the technology, rarely both. Here the reliability engineering and the software that supports it come from the same two people, in the same engagement.

Precision over volume

Small firm. Full attention.

We take a limited number of engagements at a time. When you work with AAI Maquine you work with the partners, not with a project manager screening your calls.

Outcome focus

Measured in downtime, not deliverables

Success is defined in operating terms: unplanned downtime, MTBF, maintenance cost per unit. Every recommendation is tied to a number you already track, and everything we build is documented and handed over.

05 / The team

Two partners.
One outcome.

Three decades of SAP maintenance practice, and the automation and AI layer built on top of it.

Didier Maquiné
Partner / Functional consultant, asset management

Industrial plant maintenance specialist with over 30 years of SAP experience. Specialised in advanced maintenance and inspection processes, and in the plant-side practice that keeps a maintenance programme alive long after the consultants leave.

  • SAP PM, 30+ years01
  • Inspection processes02
  • Reliability engineering03
  • Plant-side practice04
Philippe Maquiné
Partner / Automation and applied AI, SAP PM/EAM

SAP PM/EAM functional consultant working on the automation side: SAP front-end and process automation, AI-assisted analysis of maintenance data on local models, and purpose-built micro-software where no standard tool fits. Writes and enforces the data confidentiality rules every engagement runs under.

  • SAP PM / EAM, ECC and S/4HANA01
  • SAP automation02
  • Applied AI on local models03
  • Custom micro-software04
  • Data confidentiality05
06 / Questions

Before you call

The questions we get in the first ten minutes of a discovery call, answered here to save you those ten minutes.

01Do you work on SAP S/4HANA as well as ECC?

Yes. We work in SAP PM and EAM on both ECC and S/4HANA, including migrations between the two and the reconciliation work that follows a migration dry run: what moved, what changed, what broke.

02Do we have to give you access to our systems?

Not for analysis. We work from controlled exports you produce, with a documented scope. When configuration work needs an account, it is your account, under your access policy, and no third-party tool is ever attached to it.

03What does AI on local models mean in practice?

The models run on a machine or on infrastructure you control. Prompts, documents and results stay there. Nothing is sent to a public AI service, nothing is logged by a third party, and nothing is used to train anyone’s model.

04We only have Excel today. Is that a problem?

It is the most common starting point. Service 01 exists for it: we structure what you have, define the technical hierarchy and workflows, and load the history into the CMMS so you keep it.

05How long does an engagement take?

It depends on the scope, so we do not quote a duration before the diagnosis phase. That phase is short by design and ends with a scoped plan and an estimate, before you commit to anything further.

06Do you work outside France?

Yes. We are based in France and work remotely and on site internationally, in French and in English.

07 / Contact

Let’s talk about
your plant.

Thirty minutes is enough to understand your current programme, find the highest-leverage opportunity and tell you exactly how we can help.

Emailcontact@aaimaq.com
BaseFrance, available internationally
CallsDiscovery calls booked through this form
ReplyTypically within 24 hours
Request received.We reply within 24 hours, usually sooner.