Operationally, automation excels in processing repetitive, predictable tasks—like processing standard orders or sending routine status updates. However, e-commerce operations encompass a variety of non-standard scenarios—'exceptions' that require a level of judgment and decision-making. For example, a Shopify store could set automated rules for processing refunds on simple purchase errors, yet complex issues like disputed damages require human review to maintain customer trust and satisfaction. Without a hybrid system that strategically involves personnel at critical junctures, there is a high risk of operational inefficiency creeping in, as automated systems struggle with the nuances and unique contexts presented by such anomalies, leading to service failures, customer dissatisfaction, and potential reputational damage. An ideal operational model would assign responsibility over both automated and manual workflows, with established Service Level Agreements (SLAs) to ensure accountability and timely handling of both routine tasks and exceptions.