We are moving into a phase of artificial intelligence where systems no longer simply advise humans. Increasingly, they act. They trigger workflows automatically, coordinate decisions across platforms, reprioritise tasks dynamically, initiate communications, allocate resources, and continuously optimise behaviour without requiring explicit approval at every stage. This is the emerging world of agentic AI, systems designed not merely to generate outputs, but to pursue goals, adapt behaviour, and execute decisions with increasing autonomy.
The technological shift is significant, but the governance implications are even more profound.
Because while organisations are racing to experiment with autonomous systems, one foundational question still lacks a clear and operationally credible answer in most environments:
Who is actually accountable when the system makes the decision?
Subscribe to continue reading
Become a paid subscriber to get access to the rest of this post and other exclusive content.
