Artificial intelligence is no longer a futuristic promise; it is an unavoidable economic reality. Since its massive democratization three years ago, nearly one in two French people already uses AI tools on a daily basis. For comparison, it took the Internet nearly five years to reach such a level of adoption. Yet, faced with this acceleration, many leaders and employees feel lost. How can you take the leap effectively? How can you avoid the pitfalls?

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80% of corporate AI projects fail

This is the dark side of digital transformation: 80% of AI agents developed within companies fail and never move beyond the POC (Proof of Concept) stage. While the technology may work from a technical standpoint, the bottleneck is almost always human or organizational.

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AI literacy for teams: An essential, often underestimated point

As explained earlier, many AI projects will not scale, not because of technical shortcomings, but because of human factors:

• A lack of knowledge and training for user teams
• Fear of being replaced by machines (talent gap)
• Obsolete or poorly structured databases
• Poor identification of business use cases

FAQ - Getting started with AI in the workplace

What is RAG in AI?

RAG (Retrieval-Augmented Generation) allows an AI to draw on a specific knowledge base provided by the company to generate reliable, contextualized, and up-to-date responses.  

Will AI replace employees?

No. The primary role of AI is to free teams from tedious and repetitive tasks. Humans remain essential for supervising results, detecting errors (hallucinations), and exercising judgment.

What is the best way to foster AI literacy among my teams? 

Many tools exist to help your employees master AI: training courses, books, videos... And today, our experts share all their tips for successfully starting with AI in the workplace in our latest white paper!

Download it now