Understand AI to use it well.
A team that knows what AI can do, and above all what must not be handed to it.
Teams that understand where AI helps and where it falls short, use it better
In 2024, Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, including because of inadequate data, rising costs or unclear business value. In the Cisco 2024 Data Privacy Benchmark, 48% of the GenAI users surveyed said they had entered non-public information about their company. Training gives the team practical criteria to assess a use case, protect data and check results.
We work with the tools and cases your team actually encounters.
We start from what your teams already use, or hesitate to use. By the end, they know what to do, what to avoid, and why.
- What AI can, and cannot do. Realistic, today.
- The right reflexes day to day, the traps, and what should not be handed to it.
- Your data and public tools: what is safe, what is less so.
- The European framework on AI, no jargon, and what it expects of your teams.
A team that understands AI uses it better
In concrete terms: what your tools can do, and where they have no place. On your environment, not on slides. You also cover the dimension expected by the European framework: teams who understand what they use, and a tracking document proportionate to your use.
Want to go through the right questions about AI first? We have gathered them together.
Understand AITrain your teams where they are.
A free discovery call to frame what would genuinely be useful in your case.