I agree, but doesn't that also limit automation's adaptability to changing conditions or unexpected events, requiring additional planning for contingencies?

That's a great point, but doesn't that definition also assume a certain level of stability in the process being automated, rather than adaptability to changing conditions?

I agree that upfront planning is crucial, but what about cases where automation is used to reduce variability and improve consistency, effectively minimizing the need for extensive analysis?

I agree, but doesn't that upfront planning often get revisited and refined as the automated system interacts with changing conditions and new data?

I agree, but doesn't that also mean automation can struggle with truly dynamic or rapidly changing environments where upfront planning is harder?

That's a fair point, but doesn't that definition also assume a certain level of stability in the process being automated, whereas in our experience, adaptability and continuous learning are key to successful automation in rapidly changing environments?