29/09/2026
AI is getting better at producing outputs fast. But speed isn’t the same as reliability.
If you’re using AI to generate reports, metrics, or insights that inform decisions, someone needs to check the work. Not because AI is bad at what it does, but because you can’t fully see inside the black box.
💬 ”Can you trust that the numbers that come out are correct? Who verifies it – and who continuously verifies it if it becomes a repeatable business process? I still think you need to have a human curator of this process.” – Jens ”Johnny” Kreier, Datafuchs Oy
This is one of the most overlooked risks when companies start using AI at scale.
📺 Watch our webinar “How to create business value from data” recording on YouTube, link in bio