Industry: taking agentic AI to scale
Many manufacturers pile up AI demonstrators without ever putting them into production. The real issue is not feasibility, but scaling up.
The context
A pilot impresses in a meeting, then hits reality: integration with existing systems, reliability, change management, running costs. Without that step, the value stays theoretical.
How AI comes in
A well-designed AI agent integrates with the tools already in place (ERP, MES, automation), works on high-volume tasks and keeps a record of its actions. In 2025, Siemens presented (at the Automate show) AI agents connected to its automation environments — an illustration of that integration into the industrial IT landscape.
What it means for you
One well-industrialised use case is worth more than ten orphan prototypes. Analysts expect fast adoption (Deloitte estimates that around a quarter of the companies using generative AI will deploy autonomous AI agents in 2025, and about half in 2027), but the gains put forward by vendors remain targets or pilot results, to be validated at your own site. Our approach: start small and measured, in France, then widen.
A public company case, restated by Blue Lemon Agent for illustration. No affiliation.
Editorial responsibility. This article is reviewed and approved before publication by the publication director, Ronan Le Boulaire, who bears editorial responsibility for it (see the legal notice). Writing-assistance tools may be used beforehand; no text is published without that human review.
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