What does Automation mean?

Automation refers to carrying out recurring work steps through technology instead of people. It requires that the process be fully described in advance: trigger, rules, intermediate steps, responsibilities, and outcome all need to be fixed. Automation differs from AI in that people define the rules and the system merely executes them.

Classic automation works on a rule basis through workflow engines, which pass a case from one station to the next while tracking deadlines. Robotic process automation instead operates the interface of older line-of-business applications that have no API. Where inputs arrive unstructured, a model handles the preprocessing and hands structured fields to the rule. Only this combination also captures free text, scanned forms, and attachments.

Automation pays off wherever a process runs at high volume and follows the same pattern in most cases. That spans checking incoming invoices, setting up new user accounts, and triggering a reorder once a minimum stock level is reached. Exceptions are deliberately left out and go into a checklist for manual handling.

The advantage over manual processing lies in its independence from staff availability and daily form. Clear-cut cases are resolved on the day they come in, freeing up working time for the contested ones. Every step leaves an entry in the log, from which the process can later be fully reconstructed.

Automation only works where the process has been clarified beforehand. An unclear process becomes wrong faster through technology, not more correct. That is why the starting point is capturing the actual process, not choosing a tool.