Article
The question isn’t “what are the rules?” — it’s “who owns AI?”
AI tools arrive before the rules do. Clear ownership is what turns a policy into something that actually works.
Imagine an ordinary week in your organisation.
The finance team is trying a new AI product. The support team is customising a cloud AI service. A developer is pushing code to the new agent they are building.
Nobody is cutting corners — everyone just wants to work faster. But it is not clear what data is flowing into these tools, or who approved them. There is no one to say “yes”, “no” or “only like this”.
Rules follow tools — ownership can’t
Rules usually arrive after the tools. That is natural. But the important question is not “what are the rules?” — it is “who is responsible?”
A rule that no one owns is just a recommendation.
Our four steps to AI governance
In AI Governance at Dofinity.AI we work in four steps:
- Map where AI is already in use.
- Align policy and priorities.
- Define ownership and accountability.
- Implement automated controls — automation is critical so the organisation can keep moving fast.
The result: clear ownership and controls that work. Who owns AI in your organisation? If the answer is “not sure” — let’s talk.
This article is the English version of a post originally published in Hebrew on our LinkedIn page.