Which factors help in determining the complexity of an automation process?

Determining the complexity of an automation process can heavily rely on variations and scenarios involved in the process. Each variation or scenario can introduce additional elements that complicate the design and implementation of the automation. For instance, if a process has multiple branches, exceptions, or distinct variations based on user input or external data, these factors can significantly increase the number of rules and decision-making logic required in the automation workflow. This not only adds to the technical complexity of developing the automation but also influences the testing required to ensure reliability across different scenarios.

While factors such as FTE savings do provide insight into potential benefits and business agility relates to the flexibility of adapting to change, they do not directly correlate to how complex the automation itself is. The number of screens may also be indicative of complexity, but it is the variations and scenarios that fundamentally challenge the flow and structure of the automation process, marking them as the primary factor in assessing complexity.