Answer
Because it creates leverage around existing expertise without giving the model direct authority over production work. Many IBM i teams depend on long-held workflow knowledge, support notes, and application context that newer staff struggle to absorb quickly. AI can help organize and surface that knowledge before the team trusts it with higher-risk tasks.
Buyers should value this kind of use case because it improves onboarding, support speed, and continuity at relatively low risk. It is often a better first win than ambitious automation claims.