Every automated system makes decisions. Even a simple routing rule — if the invoice is under a certain amount, approve automatically — is a decision with consequences. The question is not whether to govern these decisions, but how.
At minimum, every automated decision should be logged with the inputs that triggered it, the rule or model that produced it, and the outcome. This creates an audit trail that supports compliance, debugging, and continuous improvement.
Beyond logging, governance means defining who can modify the rules, how changes are tested before deployment, and what happens when the system encounters a situation it was not designed to handle. These are not technical afterthoughts — they are design requirements.
Written by
The Orryx advisory team
Orryx is an advisory practice for AI and operational transformation. We work outcome-first and keep a human in the loop — our perspectives come from designing and governing automation in production, not from theory.