AI · · 3 min read
How to choose the right AI tools without wasting money
There are hundreds of AI tools, and most small businesses pay for more than they use. Here is how to pick the few that actually deliver value.
By Mediseo
New AI tools appear every week, each promising to transform your working day. Most small businesses end up paying for a handful of subscriptions they barely use. Here is how to avoid that.
Start with the task, not the tool
The most common waste starts with hunting for tools instead of defining a need. You see an impressive demo, buy it, and then go looking for a problem it can solve.
Reverse the order. First pick out one concrete task that costs time. Then ask which tool solves precisely that. A tool with no task attached to it is just a monthly cost.
Three kinds of tool, three purposes
It helps to know what kind of tool you are actually looking at:
- Broad assistants for writing, summarising and research. A good starting point for most, and cheap per user.
- Specialised tools for one thing — transcription, image editing, accounting help. Worth it only if you do that one thing often.
- Built-in AI in tools you already pay for — email, your customer system, your accounting software. Often the cheapest, because you avoid a new subscription.
Always check that last point first. Many "new AI needs" are already covered by features in the software you have.
The questions that expose bad purchases
Before you commit, ask these:
- How many people actually use it? A tool nobody opens is pure cost.
- Does it replace something, or just add to the pile? Three tools doing the same thing is two too many.
- Where does my data end up? Is what I paste in used to train the model? For sensitive material the answer is decisive.
- What happens if we stop? Are you stuck because everything is locked inside one tool?
An honest answer to these four weeds out most impulse buys.
Mind data protection from day one
A cheap tool that leaks customer data is not cheap. For anything touching personal data or commercially sensitive material, a few simple rules apply:
- Use business versions with a data processing agreement, not personal free accounts.
- Switch off settings that let your data be used for training.
- Write a short rule for what staff can paste where.
This is general guidance, not legal advice. Your obligations depend on the kind of data you handle.
Off-the-shelf or custom-built?
For most tasks, an off-the-shelf tool is right: affordable, quick to start, generic effect. You only upgrade to something custom when a task is big enough and specific enough that the ready-made tools fall short.
| Off-the-shelf tools | Custom-built solution |
|---|---|
| A few hundred to a couple of thousand a month | Built around your systems and data |
| Same for everyone, ready immediately | Tailored to one concrete workflow |
| Fine for writing, summarising, research | Worth it when volume is high and the task matters |
The two are not mutually exclusive. Most should start with off-the-shelf tools and upgrade once they see which task steals the most time. What a custom implementation costs we have written about separately.
Tidy your subscriptions twice a year
Tools have a way of piling up. A simple routine keeps costs down: twice a year you review what you are actually paying for, and who uses what. Anything nobody has opened in three months you cancel without guilt.
The goal is not as many tools as possible. It is as few as possible, each doing a concrete job you genuinely need done.
If you would like help working out which tools are worth the money in your particular business, you are welcome to book a quick call.