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Turning Aero Excellence foundations into value

PI Project studies how targeted uses of artificial intelligence and data analysis can draw additional operational value from those foundations

The starting point

Industrial maturity creates a decision-making infrastructure

The Aero Excellence certification leads industrial sites to clarify their processes, responsibilities, indicators, standards, and control mechanisms. This effort primarily serves an objective of industrial control.

Once these foundations are genuinely in place, they also produce a context usable by artificial intelligence and by data analysis. Histories become comparable, deviations can be linked to their causes, and decisions can rely on better-structured information.

PI Project does not assess sites and does not issue any Aero Excellence label. The proposed engagement begins after industrial structuring, on a targeted use whose result can be verified.
From foundation to operational return
Industrial foundations Processes, responsibilities, standards, technical data, indicators, and records.
Usable context Interpretable history, explicit rules, comparable events, and attributed decisions.
Bounded mechanism A precise task, a known data scope, human control, and acceptance criteria.
Measured additional value Time saved, earlier detection, more complete analysis, or a better-documented decision.

Areas of application

Possible uses within the operational excellence component

The examples below concern the operational excellence part of the framework, structured into five sections. They are not part of the framework itself: they show what the foundations put in place in each section can make possible once data and practices have reached sufficient stability.

D01

Organization and resources

Capitalize on project decisions, retrieve relevant lessons learned, and prepare the transfer of technical knowledge without replacing professional judgment.

D02

Planning and logistics

Identify drift, reconcile demand, capacity, and technical data, then qualify situations that require a planning decision.

D03

Industrial supplier management

Consolidate performance signals, track the cascade of requirements, and surface supplier risks to review first.

D04

Industrialization and quality

Link non-conformities, changes, routings, inspections, and history to assist impact analysis, root-cause investigation, and file preparation.

D05

Industrial excellence

Monitor the consistency of standards and indicators, detect drift, and retrieve the factual elements needed for an improvement action.

CONDITION

A sufficiently stable base

When the process, the data, or the responsibility remain unstable, the priority is to clarify them. Artificial intelligence does not fix an organization that does not yet produce comparable facts.

The offer, step by step

A contractual progression, from use case to operation

Each stage produces an actionable decision. Moving to the next stage depends on the results obtained, not on a general promise about the capabilities of artificial intelligence.

Selection principle

Business value, data availability, ability to control, and compatibility with deployment constraints are examined together.

Study

Scoping an industrial use case

Describe the decision or task concerned, establish the reference situation, inventory the available data, and define what will need to be demonstrated.

Demonstrator

Mechanism on representative data

Test the mechanism on a limited corpus, make its errors visible, and verify that the result can be checked by the people responsible for the process.

Pilot

Evaluation in the real flow

Integrate the system on a bounded scope, compare its results to the initial situation, and track useful effects as well as new control workloads.

Operation

Integration and maintaining control

Deploy the validated use case, ensure traceability of versions and decisions, monitor the quality produced, and organize the pathway back to human expertise.

First discussion

Present a process already in place and the objective sought

The first discussion is used to determine whether the case has a sufficient industrial base, a plausible AI mechanism, and a verifiable result.

Present the case

Aero Excellence is a program independent of PI Project. This offer does not constitute an Aero Excellence assessment or support toward labeling. The framework is cited as an existing industrial reference from which additional uses can be studied. Official Aero Excellence site.