With numbers, not slides. An AI use case needs clear answers to three questions: What problem does it solve? What does the problem cost today? And what changes when AI is deployed?

Decision-makers don't want technology demos — they want business arguments. A solid business case shows the expected benefit — such as reduced processing times, lower error rates, or relieved teams — and weighs it against the effort for implementation and operations.

A clear implementation plan also helps: What happens in the first weeks? When are initial results visible? And how do you limit risk? Formats like an AI pilot or a 100-day MVP make exactly that tangible — tests with manageable investment and measurable results.