Who controls your AI, and who should?

There is a critical difference between AI that provides information and AI that takes action. The moment a system can update records, trigger a workflow or communicate externally, the conversation has to move beyond accuracy to authority. What, exactly, has the business authorised it to do?

I encourage leaders to treat that authority as deliberately as they would a new employee's responsibilities. Define what information the system can read, which actions it can propose and which changes it can execute. Preparing a recommendation should never automatically mean permission to carry it out.

A practical first step is to separate low-consequence assistance from consequential action. A workflow might prepare a draft or flag an exception while a person approves the message, the payment or the record change. Permissions and workflow controls, not good intentions, should enforce that line.

At Aventine AI the aim is more operating capacity without losing ownership of decisions. Start with limited authority, examine the results and widen it only where the business case and the controls justify it. Connecting AI to a system is not the same as handing it the keys.