Why generic AI advice fails

"Use AI for customer service" is not advice, it is a category. What a twelve-person real estate agency should do with AI has almost nothing in common with what a regulated healthcare practice should do, and both differ from a manufacturer. Industry determines which processes exist, size determines what is worth automating, and your stated constraint determines what to do first.

How to use the output

The generator returns up to six use cases ranked by fit. Treat them as a shortlist to argue with, not a plan:

Cross off anything you could not describe to a supplier in three sentences. If you cannot specify it, you cannot buy it and you certainly cannot check it was delivered.
Cross off anything where a wrong answer reaches a customer unreviewed. Not permanently — just not first.
Of what remains, pick the one your team already complains about. Existing frustration is the cheapest change-management budget you will ever have.

These are starting points, not recommendations. The generator matches patterns to your inputs from a fixed set of common implementations. It does not know your systems, your data quality or your regulatory position, and it is not a substitute for someone who has looked at your actual operation.

Budget and what it really constrains

The budget question changes the answers less than people expect, because the dominant cost in most AI projects is not the tool — it is integration and the internal time to get the data right. A generous software budget attached to disorganised data buys you an expensive disappointment. If you selected the lowest budget band, that is not a barrier to starting; a great deal is achievable with free tiers and one focused process.

Turning a use case into a project

Once you have picked one, two things make the difference between a project and an experiment: a number you are trying to move, and a named person whose job changes when it works. Get the number from the ROI calculator, then build the sequence with the 90-day planner. If the work touches personal or client-confidential data, run the risk assessment before you build anything.

AI Use Case Generator