When AI is not worth it for your business
Not every problem is an AI problem. Sometimes the honest conclusion is: do not do it. In the wrong place, AI costs you time, money and trust.
Almost no provider writes this, because it sells nothing. Yet it is the most important check you can do. For the full picture, see AI for your SME.
Six cases to leave AI aside
- Work that occurs rarely. Twice a year? Do it by hand. Setting it up costs more than it delivers.
- Work that is different every time. Many exceptions break the pattern. If you have to explain every case again, it is not a candidate.
- Decisions that need judgement. A price, a hire, a sensitive complaint. AI prepares, a human decides.
- Errors that are expensive and invisible. If a mistake passes unnoticed, the risk weighs heavier than the time saved. If you cannot check the result quickly, leave it.
- A process that is not yet sound. AI speeds up a process, it does not repair one. Automating a messy way of working gives faster chaos. Put the process straight first.
- Change that costs more than it delivers. Your team has to learn and accept the new way. For a small, rare task, that effort does not outweigh the gain.
One of these is usually enough not to do it.
What to do instead
Not doing it is a fine outcome. Three alternatives that often deliver more:
- Put the process straight first. A clear process is already a time saving in itself, with or without AI.
- Choose a better task. Almost every business has work that does come back often and follows a fixed pattern. See which repetitive work you can already have AI do today.
- Start small and measure. Test on a small scale before you set up something big. How, is in starting an AI project without turning your organisation upside down.
Frequently asked questions
Does this mean AI is overrated? No. It means you use AI in a targeted way. On the right task it delivers a lot, on the wrong one little. The difference is in the choice, not in the technology.
How do I know for sure whether a task is suitable? Test it small. One task, a few weeks, alongside your usual work. Measure the time saved and the errors. Practice answers faster than endless weighing.
What if I still want to try it on a borderline case? Do that small, with a clear limit: how much time and money it may cost before you stop. That way a test stays a test.
Further reading
- AI for your SME: what it realistically delivers (and what it does not)
- Which repetitive work can you already have AI do today?
- Starting an AI project without turning your organisation upside down
Coronis tells you the odds and the price up front, even when the answer is "do not do it". Rather an honest no than a project that delivers nothing.
Written with AI, read and approved by a human. Here is how that works.