Every CIO I speak to is racing to deploy AI agents. Very few have answered the one question that matters most: who is accountable when an agent gets it wrong?
Accountability cannot be delegated to the model, the vendor, or the platform. It stays with the enterprise — and it needs to be engineered into the design before a single agent goes live.
In this post, I explore why the accountability gap is a design flaw, not an oversight — and what five disciplines separate enterprises that will govern AI at scale from those that will learn the hard way.