Core question
Why am I getting pitched so many different AI solutions, and how do I tell them apart?
Short answer
Because four different things are being sold under one label. A consultant to help your team use AI day to day. A point solution for one defined problem. An upgrade to software you already own. And a full transformation. All four are real, all four are positioned as urgent, and all four are in your inbox.
Once you see the four categories, the noise resolves into something you can evaluate.
The first is help using the tools. A consultant or vendor who trains and supports your team in daily use. This is the lowest cost of the four, the fastest to show an effect, and often the right first step, because it builds the internal judgment you will need to evaluate everything else. It is also the one most likely to be dismissed as insufficiently ambitious, which is usually a mistake.
The second is a point solution. One specific operational fix, built or bought to address a defined pain point. These come from outside vendors and just as often from inside, pushed by a department head who has already decided what they want. A point solution is a good investment when the pain is real and measurable, and an expensive one when the department was solving a symptom.
The third is an enterprise software upgrade. Your existing platforms already have AI built into them. Some of it is genuinely useful and some of it is not, and the pitch is always that you are leaving capability on the table. The advantage here is real: your data may already be protected at an enterprise level and your people already know the interface. The risk is paying for capability nobody asked for.
The fourth is transformation. A platform or operating model that repositions how the organization works at scale. This is the largest commitment, the longest horizon, and by far the hardest to reverse, which means it should be the last of the four you consider rather than the first.
The pressure is not random. It is structural. When a technology wave moves this fast, every provider reconfigures their pitch to match the moment. The label changes. The underlying product often does not.
That is not a reason to ignore AI. It is a reason to pause long enough to understand which of these four actually fits where your organization sits, before the next meeting starts. Most executives do not get that pause. That is where the waste starts.