When field qualifying any AI system, one the most important questions is whether the model will perform well, or at least degrade gracefully (and safely), when exposed to real-world situations that differ from training. The reason you used AI in the first place, as opposed to some form of finite state automata, is because you need an economically tractable solution that generalizes to a wide spectrum of real-world situations.