What an AI consultant does for a small business in Cyprus

The first part is finding where AI actually pays off in your business. That means sitting with the people doing the work, not just the owner, and looking at where time goes: answering the same questions, chasing the same paperwork, re-entering the same data between systems. Most companies have two or three places where this is obviously worth fixing, and a long list of places where it is not worth touching yet.

The second part is building it. That can mean an AI phone or chat assistant, a workflow that moves data between tools automatically, or something narrower like a document that writes itself from a form. The output should be something your team actually uses, not a demo that looks good once and then sits unused.

The third part is keeping it safe. Where does the data go, who can see it, what happens when the system is wrong. In the EU, GDPR already applies to anything customer data touches, and the AI Act adds its own duties depending on what the system does. A consultant who skips this part is leaving you to find out the hard way. I cover the practical side of this on the safe AI page.

If you want the short version of how I structure this across a project, the services page walks through the audit, the briefing, the build, and the ongoing support.

Ask what they will actually build, not just present. Strategy decks have their place, but if a four-week engagement ends with a PDF and no working system, you have paid for an opinion, not a result.

Ask to see something they have built before, ideally something still running. Recent work should be concrete: what it does, who uses it, what it replaced. If an advisor cannot point to anything real, that tells you something.

Ask how they handle the parts that are not about AI at all: data protection, access control, what happens if the vendor they rely on changes its terms or shuts down. A consultant who only talks about the clever part and skips the boring part is not thinking about your business the way they should.

Ask whether you will own what gets built. Code, accounts, documentation. If the answer is vague, that is a lock-in risk, not a partnership.

Start with scope: what exactly will be delivered, and by when. Vague promises about "transforming your business with AI" are a sign to slow down. A specific answer, such as which process will be automated and how success is measured, is a sign to keep talking.

Ask about data. Where does it get stored, who processes it, and is there a written agreement covering that. If the answer is "don't worry about it," worry about it.

Ask what happens after the project ends. Some advisors disappear once the invoice is paid. Others stay reachable for questions or small fixes. Neither is wrong, but you should know which one you are getting.

Ask for a plain explanation of what the system cannot do. Every AI system has limits, and an advisor who only talks about what it can do is not giving you the full picture.

A first conversation should be about your business, not about AI in general. What takes up time, what frustrates your team, what customers complain about. A useful advisor listens more than they pitch in that first call.

It should also cover rough scope and rough cost before anything is signed. You should leave knowing whether there is a real opportunity worth pursuing, even if the answer is that it is not worth it yet.

And it should be free. A short first conversation to understand your business and tell you honestly whether AI can help is not something you should have to pay for. That is what a free automation plan is for on my end: you describe the business, I tell you what I see, no obligation either way.

This is general information, not legal advice.