AI use case: definition, selection and assessment
Definition
An AI use case is a concrete application in which AI solves a specific task in the company and creates measurable value. It names the problem, the people affected, the data required and the expected result. A strong use case is narrow enough to be assessable and important enough to make delivery worthwhile.
Why the Term Matters
Many AI initiatives stay vague because no one describes the application cleanly. The AI use case turns an idea into a testable task with clear value. As a neutral advisor we rate each use case by impact, data access and risk instead of treating every idea alike. That produces a defensible order and weeds out costly initiatives without substance early.
When It Is Relevant
- A rough AI idea should be tested for viability.
- Several proposals compete for the same budget.
- A pilot needs a clear definition of success beforehand.
- An initiative should be costed with realistic effort.
When Not
When a problem is also solved without AI by a simple rule or an existing tool, you do not need an AI use case but the simpler solution. And when neither data nor a clear value is visible, it is too early for a use case assessment and more honest to sharpen the need first.
Industries That Use It
- Wholesale: cleanly separate a reorder-forecast use case from wishful thinking.
- Staffing services: describe applicant pre-selection as a narrow, testable case.
- Energy utilities: define load forecasting as a use case with clear data sources and limits.
- Law firms: frame document research as a case with confidentiality requirements.
Typical Use Cases
- A structured description of problem, data and expected result.
- A rating by value, effort, data access and risk.
- A comparison of several use cases in a transparent matrix.
- A success definition against which a pilot is measured.
- A judgement on whether a case falls under the EU AI Act.
Decision Guide
| Signal | AI use case fits | Alternative |
|---|---|---|
| Idea is vague, value unclear | describe the use case cleanly | sharpen the need first |
| Problem is solved by a rule | rather not | choose the simple solution |
| Several ideas, one budget | rate use cases comparatively | decide by gut feeling |
| Case affects people and rights | use case plus EU AI Act review | starting without framing is risky |
Example
A wholesaler wants to plan order quantities with AI. We describe the case precisely: which data exists, who is affected and what a good result would be. Compared with two other ideas, it shows the clearest value and the lowest effort. The case moves into a small pilot. This describes the method, not an asserted client metric.
Service Connection
Use cases emerge and are prioritised in the AI potential analysis. The most viable case then moves into AI implementation, or into EU AI Act consulting first if there is legal uncertainty.
Sources
This framing describes common assessment practice for use cases. Statements on the EU AI Act are general orientation and not legal advice; they must be checked case by case against the currently applicable legal texts.