Artificial intelligence
Choosing your first business AI use case
Choose a bounded task whose results can be reviewed. Prepare correct examples, ambiguous cases and expected failures. A convincing demonstration does not replace evaluation on your data.
A verifiable outcome
Choose a bounded task whose results can be reviewed. Prepare correct examples, ambiguous cases and expected failures. A convincing demonstration does not replace evaluation on your data.
Define decision criteria
Write down what must be checked before starting: target users, volumes, necessary data and access constraints. Distinguish known facts from what still needs testing. An unverified assumption should remain visible in planning and budgeting.
Prepare a useful first step
- Describe a representative workflow and its expected outcome.
- Identify required systems and stakeholders.
- Prepare suitable sample data for a demonstration.
- Set acceptance criteria and stopping conditions.
Plan continuity during scoping
The first release does not settle operational questions. Specify who monitors failures, who manages access and how changes are approved. Brief, current documentation helps teams take over without depending on informal knowledge.