How does 'synchronous' processing differ from 'asynchronous' processing in bot execution?

Synchronous processing is characterized by its waiting behavior. In this model, tasks are executed one after the other, meaning that each task must wait for the previous one to complete before it can start. This ensures that the execution flow follows a defined sequence, which can be crucial in processes that require strict adherence to order or where the output of one task serves as the input for the next.

On the other hand, asynchronous processing allows tasks to be initiated independently, enabling the bot to continue executing other tasks without waiting for previous tasks to complete. This can enhance overall efficiency and resource utilization, particularly in scenarios that involve long-running operations, like file uploads or API calls, where it's beneficial for the bot to move on to other tasks instead of being idle.

This fundamental difference impacts how workflows are designed and executed in RPA scenarios. Asynchronous processing can be particularly useful when tasks are independent of each other, allowing for greater flexibility and faster execution of workflows.