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Generative AI in the Enterprise: A Strategic Guide for 2025

Beyond the hype, how CIOs and business leaders can structure a generative AI adoption strategy that delivers measurable value. Lessons from 12 months of real-world projects.

Jose DA COSTA March 28, 2026 12 min read
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  3. Generative AI in the Enterprise: A Strategic Guide for 2025

Generative AI reached a decisive milestone in 2025. Companies that adopted it strategically report productivity gains of 20-40% on targeted processes. But behind these numbers lie far more nuanced realities.

The adoption paradox: between enthusiasm and maturity

According to our latest survey of 150 French companies, 78% launched at least one generative AI project in 2025. Yet only 23% consider these initiatives truly productive. The gap is explained by a deficit of methodology, not technology.
The most common mistakes we observe: starting with technology instead of the business use case, underestimating data preparation efforts, and neglecting change management with teams.

5 use cases that deliver measurable ROI

1. Document automation: generation and synthesis of regulatory documents, contracts, reports. Average gain: 60% time on writing tasks. 2. Augmented customer support: conversational assistants powered by internal knowledge bases. 35% reduction in resolution time. 3. Code assistance and technical review: 25-40% acceleration in software development. 4. Unstructured data analysis: extracting insights from customer feedback, emails, tickets. 5. Personalization at scale: marketing campaigns and communications tailored to each segment.

Our methodology

At ACCENSEO, we've structured a 4-phase approach: Strategic framing (identifying priority use cases), Proof of Concept (validation on a limited scope in 6 weeks), Industrialization (scaling with appropriate guardrails), and Continuous optimization (performance monitoring and model tuning).

“Generative AI is not an IT project, it's a transformation project. The CIOs who understand this are the ones who deliver value.”

— Jose DA COSTA
In 2026, the leaders will be companies that successfully moved from experimentation to industrialization, with solid foundations in data governance and change management.
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About the author

JDC

Jose DA COSTA

President & CTO, ACCENSEO

Software engineer with over 15 years of experience in IT consulting and custom development. Jose leads ACCENSEO with a clear vision: making technological innovation accessible to businesses of all sizes.

Table of contents

  1. The adoption paradox: between enthusiasm and maturity
  2. 5 use cases that deliver measurable ROI
  3. Our methodology

Published on

March 28, 2026

Author

Jose DA COSTA

Category

Technology

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