After an initial phase marked by experimentation and the multiplication of Proofs of Concept (PoCs), generative AI is entering a new stage. The benchmark study conducted by Eurogroup Consulting and La Javaness among 50 public and private organizations shows that the real challenge now is to create sustainable value at the organizational level.
From experimentation to industrialization
Generative AI is now featured in roadmaps, training programs, and the first portfolios of use cases. However, maturity levels remain mixed: 44 % of organizations are still in an exploratory phase, 44 % have structured their approach, and only 12 % have undertaken significant scaling efforts.
This evolution marks the end of the race for PoCs. The most advanced organizations are no longer those that experiment the most, but those that know how to select value-creating uses, industrialize them, and integrate them sustainably into their processes. Scaling up also requires moving beyond individual productivity gains to transform the organization as a whole.
The foundations of value: data, governance, and skills
The benchmark highlights that the success of AI initiatives now relies on often underestimated fundamentals: data quality, document corpus governance, technological architecture, risk management, and employee support. Organizations are discovering that access to models is not enough; value creation depends on their ability to structure their knowledge, secure their usage, and manage their investments over the long term.
This transformation is also human. Skills evolve, jobs transform, and managers become key players in adoption. The industrialization of generative AI thus appears as much an organizational and management challenge as a technological one.
Towards Strategic AI Mastery
Finally, questions of sovereignty, technological dependence, and agentic AI are taking on a growing role in organizations' thinking. As AI becomes integrated into critical processes, choices of models, architectures, providers, or platforms become strategic decisions.
The major lesson from this second edition is therefore clear: generative AI is entering an era of mastery. The organizations that succeed tomorrow will be those capable of combining value creation, governance, human transformation, and strategic autonomy to make AI a true lever for sustainable performance.
To learn more, download the benchmark Generative AI: From Experimentation to Industrialization and Scaling, created by our experts Thibault Guibert and Félix Humbaire in collaboration with La Javaness.
