According to McKinsey, 65% of companies are already regularly using generative AI to improve productivity, a figure that is growing rapidly since the mass democratization of these tools in 2022. However, generative AI is still struggling to replace human interaction when it comes to collaboration:

• It is limited in complex thinking, or when empathy, judgment, and adaptability are required.
• It can make mistakes and generate inaccurate or poorly sourced content, so human oversight is essential to ensure the quality of its suggestions.
  

In this context, can tools based on generative AI bring real added value to your collaboration?

One thing is certain: we can't rely entirely on them, and human input remains necessary. However, these tools can play a role in very specific contexts to help you save time and efficiency, allowing you to focus on more strategic tasks that only a human can perform.

In this guide, you will learn how to recognize when generative AI can be an ally for your collaboration, and how to combine it with your collaborative tools to structure your exchanges, accelerate your decision-making, and empower your teams.