AI governance and AI Act: how to organize AI usage in your organization

My thesis based on conversations, experience, and work with clients

Before an organization builds mature AI solutions, it must first build the conditions under which it can work with AI responsibly. And that is exactly what AI governance is about. Not about blocking innovation, but about creating rules that allow an organization to use it without chaos.

What this means in practice

In practice, AI usually appears faster than any rules governing its use. Employees test tools, teams start their first automations, someone wants a pilot, someone else asks about the AI Act — and after a few weeks it turns out the organization has no shared answer to very basic questions: what is allowed, who decides, what risks are acceptable, and what to do with data.

This is precisely the moment when governance becomes necessary. Not because the company wants to write another document. But because without such a framework, AI very quickly becomes either chaotic or paralyzed.

Why this is a problem right now

Today's problem is not that companies haven't heard about AI. It is that it is increasingly difficult to maintain any kind of order around it. On one side, there is curiosity and pressure for quick experiments. On the other side, there are data, accountability, compliance, and the real risk of poor decisions.

As a result, many organizations fall into one of two extremes. Either everyone uses AI in their own way, or the company reacts so cautiously that nothing sensible gets implemented. Governance is meant to help escape both of these traps.

What actually works

In my experience, the most effective governance does not look like heavy bureaucracy. It works when it is proportionate to the organization's maturity and grounded in real use cases. First, you need to answer what types of AI applications are acceptable for the company today, who owns the decisions, what the minimum working rules are, and where additional legal or risk analysis is needed.

What does not work is writing rules detached from everyday practice. If governance is going to be just a document that nobody follows, it is better not to create it. But if it is going to help make decisions faster and more safely, then it becomes one of the most important elements of a mature approach to AI.

How I work on this with clients

First, I look at how AI is or might actually be used in the organization. Only then do we move to organizing rules, responsibilities, and risk areas. I am interested not only in what the company wants to permit, but also in where practices may already exist that no one is formally discussing.

The result should not be overblown formalism. The result should be a sensible set of frameworks on which the organization can launch pilots and implementations without improvisation.

My conclusion for CIOs, CTOs, and risk leaders

Don't only ask how quickly to launch AI. Also ask under what conditions the organization should use it, so that it does not introduce chaos faster than it introduces value. Because before AI becomes an advantage, it must first become a clear element of the way the organization works.

FAQ

Is AI governance the same as the AI Act?

No. The AI Act is one of the regulatory contexts. Governance is a broader way of managing AI usage within an organization: roles, rules, responsibilities, and practice.

Does this service include legal advice?

No. This is not a legal service. Its purpose is to build practical organizational frameworks and identify where additional legal or compliance analysis is needed.

Does governance make sense if the company is just starting its AI journey?

Yes, because even a simple set of rules is better than chaos. However, the scope of governance should be proportionate to the scale and maturity of the organization.

Will governance slow down AI deployments?

Poorly designed governance can slow everything down. Well-designed governance speeds up decisions because it reduces uncertainty and establishes clear boundaries.

Get in touch

Dear Reader. If you see that in your organization AI is starting to outpace the rules governing its use and you would like to calmly organize this, I invite you to get in touch. Sometimes a few well-set frameworks deliver more than another quick experiment.

For editorial review

• Do we more prominently feature the phrase "AI governance" on the page, while leaving "AI Act" as a supporting SEO element?
• Do we want to show sample artifacts: AI policy, use case classification, roles and responsibilities?
• Is a separate version of this page needed for regulated sectors, e.g. finance or telco?