Understand AI, to use it well.
A team that knows what AI can do, and above all what must not be handed to it.
Companies ahead of the curve do not endure AI. That still requires teams who know how to use it. master it
The real subject is use. Gartner estimates that around half of generative AI projects are abandoned after the first trials. Pasting client data into a consumer tool, often without thinking about it, also creates a concrete GDPR risk: according to Cisco, nearly one organisation in two admits company-internal information has already been entered into one. A team that understands AI gets value from it, and avoids the traps.
We start from your real tools and your concrete cases. No generic slides.
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.