AI Governance Consulting
We take AI from pilot project to a managed enterprise capability. ISO 42001, the EU AI Act and board reporting in a single operating model. Built on our own framework, AI-GMM.
In most companies the AI problem is no longer a technology problem. Models work, pilots are completed, teams are excited. Then the board asks a single question: which of these systems makes the decision, which one makes a recommendation, and who is accountable when one of them decides wrongly.
The answer to that question is not inside a model. It is inside an operating model.
AI governance is the structure that defines who approves AI in the organization, which risk is accepted, at which threshold it stops, and how all of this is evidenced. It is not a policy text, it is a working decision mechanism.
Five questions the board asks
- How many AI systems are running in the organization right now, and who holds the inventory
- Which of these systems are considered high risk, and who made that classification
- What process kicks in when a model produces an unexpected output
- Where does the boundary of responsibility begin when using third-party models
- Could you show all of this to an auditor within three days
Our approach: AI-GMM
The ITGT AI Governance Maturity Model is our own framework, working across six domains and five maturity levels. It is not a generic checklist; it measures where the organization stands and derives the shortest path to the next level.
Six domains: strategy and ownership, risk and compliance, data foundation, model lifecycle, human oversight, value measurement.
Five levels: ad hoc, aware, defined, managed, optimized.
How we work
We build the current AI inventory, score maturity across six domains, and show where you stand with a radar and heat map.
We set up the governance committee structure, decision rights, risk classification thresholds and approval flows. We connect it to the existing risk and internal audit structure; we do not build a parallel one.
The inventory register, model cards, review calendar and board reporting format go live.
An evidence file mapped to ISO 42001 and EU AI Act requirements is kept audit-ready.
Tangible deliverables
- AI system inventory and risk classification
- Governance committee charter and decision rights matrix
- Model lifecycle control set
- ISO 42001 gap analysis and compliance roadmap
- EU AI Act obligation mapping
- Quarterly board reporting template
- 90-day implementation plan
Who it is for
Organizations moving AI from pilot to production. Companies that provide products or services to Europe and fall within the scope of the EU AI Act. Banks, insurers and healthcare organizations using AI in regulated sectors. Organizations preparing for ISO 42001 certification.
Frequently asked questions
What is the difference between AI governance and AI strategy?
Strategy tells you where you are going; governance tells you who approves what on the way there. Organizations with a strategy but no governance start fast and stop at the first serious incident.
Can governance be established without ISO 42001 certification?
It can, and in most cases governance comes first. The certificate is the external validation of an established system. Without the system, certification turns into filling an empty file.
Why does the EU AI Act concern a company in Türkiye?
The regulation also covers systems whose output is used within the European Union. Turkish companies that serve Europe, belong to a European group, or produce AI-supported output for a customer in Europe are in scope.
How long does the work take?
Diagnosis takes two weeks. Setting up the governance structure and getting the first report to the board typically takes three months.
Measure where you stand
Free Maturity TestIf you would like
to talk directly
Describe your situation briefly and we will get back to you within one business day. The first conversation is 30 minutes, free, and follows your agenda.
Request a conversation