All too often in artificial intelligence, the rush to implement overtakes a full appreciation of the job to be done, leading to underwhelming solutions. In a short case study, we show how to think like a designer first.

Failing fast is not a goal in itself, as budgets and enthusiasm are limited. Before going into proof-of-concept with an exciting AI/ML use case, a rigorous pre-screening is essential to focus precious resources on the right opportunities.