Automation as clarification
Automation is useful when it exposes the real shape of a process, not when it papers over a process nobody has fully understood yet.
The best reason to automate a workflow is not speed. It is the discipline the work forces on you. Once a process has to run without a person filling in the gaps, every assumption becomes visible: inputs, edge cases, failure states, ownership, and the point where the process should stop existing.
That matters in support work, dashboards, and internal tools. A manual checklist can survive vague language because the person running it knows what the author meant. Code does not. Scripts, tests, and dashboard logic all force the team to name the rule instead of relying on institutional memory.
The failure mode is automating too early. If the process is inconsistent, unclear, or rarely needed, automation can freeze the wrong behavior in place. The better first step is usually to write the workflow down, run it manually, and look for the parts that keep producing ambiguity.
The useful question is not "can this be automated?" It is "what would we have to understand before automation would be safe?" If that answer is unclear, the automation work has already found the problem.