The greatest potential lies where high business value meets repeatability — in tasks that occur regularly and where each cycle consumes time, money, or scarce resources. Typical examples: decision-making, review, assessment, forecasting, or planning processes that are still handled manually.

A key factor is the digital environment. AI is far easier to deploy when data is available, processes are digitally mapped, and interfaces exist. In environments without a digital foundation, these prerequisites must be established first.

Less viable are use cases with low repetition rates and low individual value. The effort for data, integration, and operations often doesn't justify the benefit.