Artificial Intelligence for Industrial Maintenance: a pragmatic path to measurable ROI

The French manufacturing industry is undergoing a profound transformation, exacerbated by a silent yet massive crisis: the labor shortage, against a backdrop of reindustrialization marked by lasting structural changes . According to the latest report from the Société d'encouragement pour l'industrie nationale, based on research by the General Inspectorate of Finance, 966,000 employees are expected to leave the sector by 2030 .

This massive turnover is occurring against an already challenging backdrop: a lack of appeal among younger generations, high staff turnover, difficulties in retaining employees, and so on. All of this is taking place in an increasingly complex technical environment.

The transition to Industry 4.0 is transforming factories into interconnected ecosystems: an increasing number of sensors, monitoring systems, digital interfaces, software-controlled machines, and more. Field personnel no longer interact with a single machine, but with a multidimensional system that must be understood, diagnosed, configured, and maintained.

Some companies, particularly in the United States, have resorted to hiring field staff on the spot. This observation, as alarming as it is revealing, underscores the urgent need to provide field staff with simple, accessible, and quickly deployable tools capable of compensating for human shortcomings without replacing them.

This article is neither an exhaustive review of algorithms nor a safety guide for certifying Safety Instrumented Functions (SIFs). It presents assistive AI as an independent system capable of refraining from action when it lacks sufficient confidence, while still providing the evidence of effectiveness expected by field teams.