Arvanu
Michael Kilty · Head of AI
Governance guide

AI governance for regulated companies.

AI governance is not a policy document you file away. It is the set of rules, approvals, responsibilities, and monitoring steps that decide whether a company can use AI without losing control of risk.

Governance is no longer optional

The moment AI touches customer workflows, operational decisions, or sensitive data, governance stops being a legal side note. With the EU AI Act phasing in, it becomes part of whether the system can go live at all.

Regulated companies feel this first

If you already live with approvals, audits, traceability, and process controls, AI governance has to fit into that world. Pretending it does not exist is how projects die.

Good governance makes delivery easier

Clear ownership, review rules, monitoring, escalation paths. These reduce confusion. Teams ship with less fear when the boundaries are defined before something breaks.

What governance usually needs

A usable governance model is usually simpler than people expect.

At a minimum, you need answers to four questions:

Who owns the use case? What data or workflow risks exist? Where does human review happen? How is the system monitored once it is live?

Those answers have to be owned at executive level — which is why governance and EU AI Act readiness sit inside the Head of AI mandate, not in a side committee. That is how I built an AI platform for a compounding pharmacy in Athens: governance designed into the data model and delivery from day one, under GDPR and pharmacy regulation.

When companies usually ask for help

The pilot is stuck

The team can demo something, but nobody knows who signs off, how risk is reviewed, or what the controls should be before production.

The business is under pressure to move

Leadership wants progress. They also want confidence that the first real workflow will not create governance problems they have to unwind six months later.

Next step

Governance is easiest to fix before the workflow goes live.

If the hard part is not the model but the decisions around it, this is exactly what I own as Head of AI — fractional, interim, or full-time.

Book a call