Legal & compliance

Hire an AI governance consultant in Greece and Cyprus

The EU AI Act turned into governance that operates: every AI system in the company known, classified and overseen, with documentation that holds when a customer or a supervisor asks.

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The EU AI Act is arriving in stages on companies in Greece and Cyprus that build or deploy AI, with duties that differ for providers and deployers and weigh heaviest on high-risk systems. An AI governance consultant turns it into governance that operates, alongside GDPR, NIS2 and sector rules. The work usually starts with:

AI already in use that nobody has listed, including tools staff adopted on their own
A hiring, credit or service decision where a model now plays a part
A customer or investor questionnaire asking what the company does with AI
A vendor contract for an AI tool with no answers about the model behind it

The AI governance consultants on Hellenic Talent are elite professionals from Big 4 compliance and risk practices, from data protection and security work, and from AI transformation roles where they built this governance for their own organisations. Their work is compliance practice, not legal services: formal legal interpretation stays with the company's lawyers.

What does an AI governance consultant actually do?

Inventory the AI in use, including the tools teams adopted without asking
Classify each system under the Act, as provider or deployer, with the duties that follow
Build the documentation and human oversight the Act expects, sized to the company
Assess vendors and models, and write the questions into procurement
Write an AI policy people follow, and train the staff who use the tools
Tie AI governance to GDPR, information security and the sector rules already in place

How to choose the right AI governance consultant

What to test in the first conversation, whoever you end up hiring.

Classifies a real tool
Can take one of your AI tools and say whether you are its provider or deployer, and whether it is high-risk.
Judges a vendor's model
Knows how these models are built and fail, well enough to test a vendor's claims about accuracy and data.
Finds the shadow AI
Has a method for finding the AI tools staff use without approval, and has run it in a company before.