Why Most Irish Businesses Are Stuck in AI Experimentation Modet
I hear "we're looking at AI" a lot at the moment. From founders, from operations directors, from CEOs of well-run Irish businesses who know something is shifting and feel they need to respond to it.
What I hear less often is what, specifically, they are trying to solve.
Last month, a founder in financial services told me he had started using ChatGPT. I asked him what for. The answer was honest: searching for things, plugging in some calculations to see what came back.
That is dabbling. It is not a strategy. And to be clear, there is nothing wrong with dabbling as a starting point. Curiosity is useful. But dabbling tends to stay dabbling unless something redirects it.
What was missing from that conversation, and what is missing from most early AI conversations I have in Irish businesses, is a business problem. Not a technology question. A business problem.
The Wrong Starting Point
The pattern I see repeatedly is this: a business leader encounters a tool, usually ChatGPT or Microsoft Copilot, and begins exploring what it can do. They generate some text. They summarise a document. They ask it a question they might otherwise have Googled. Some of it is impressive. Some of it is unreliable. They form a view.
But at no point in that process did they ask: where in my business is time being lost, decisions getting stuck, or value quietly leaking?
They started with the hammer and went looking for nails. The problem with that approach is that most businesses have a very specific set of nails, and a general-purpose hammer rarely finds them on its own.
If you start with the tool, you stay in experimentation mode. The tool works well enough to seem interesting but not clearly enough to justify investment, structural change, or a proper deployment. You know AI matters. You have read enough to believe you should be doing something with it. But it never quite fits anywhere in the business, at least not in a way that feels solid.
What Happens When You Start With the Problem
The businesses I see making genuine progress with AI are not the ones with the most advanced tools. They are the ones who did some honest diagnostic work first.
Where is the team spending time on work that does not require their judgment? Where are approvals or decisions consistently delayed? Where does information get lost between systems, teams, or handovers? Where is output quality inconsistent in ways that create downstream cost or rework?
Those are business problems. They have commercial consequences. And when you bring AI into a conversation that is already framed around a specific, costed problem, everything changes. The tool either helps or it does not. The ROI case is visible. The deployment has a purpose.
That is how AI moves from something you are "looking at" to something that actually earns its place in the business.
Why This Matters for Irish Businesses Specifically
Irish mid-market businesses operate in a context that is often overlooked in generic AI commentary, which is written almost entirely from a US or large-enterprise perspective.
Most Irish SMEs and mid-sized firms do not have a dedicated technology function. The business owner or a senior manager is making AI decisions alongside everything else they are responsible for. They do not have the bandwidth for open-ended experimentation. They need to know whether something works, what it costs to implement properly, and what it is worth to the business.
The "try it and see" model does not serve that context well. A problem-first approach does, because it gives a clear brief, a defined outcome, and a basis for evaluation that connects to the commercial realities of the business.
The Question Worth Asking
If you are a business leader currently "looking at AI", the most useful question you can ask yourself is not which tool to use or what the technology can do. It is this: what specific problem, if solved, would make a measurable difference to how this business operates or what it earns?
Start there. The tools can follow.