AI Act enters practice.
As of 2 August, another significant part of the EU AI Act has started to apply. Organizations are therefore gradually moving from discussions about the possibilities of artificial intelligence to a much more practical question: Do we actually know where we use AI, for what purposes, what data it works with, and what risks are involved?
This is exactly where the world of AI naturally meets process management and risk management. Without a clear understanding of processes, responsibilities, systems, data, and related risks, building effective AI governance is difficult.
The good news? It is not too late to establish a systematic approach. The July amendment to the AI Act postponed some obligations for high-risk AI systems, but transparency, accountability, and the ability to keep the use of AI under control are already becoming important topics today.
AI needs more than a good model. It also needs well-managed processes. And systematically treated risks as well.
