The more a company grows, the more manual, repetitive work it accumulates: approving documents over email, moving data from one system to another, building reports by hand. Each individual action looks minor, but together they eat up a significant share of the team's working time.
Before automating a process, it's worth checking it against a few criteria: does it repeat regularly, does it follow clear rules (rather than depending on an individual judgment call each time), does it add up to a lot of time overall, and does it lead to errors from the human factor. Processes that match most of these signs usually give the fastest return on automation.
Automation makes sense where a process is already stable and well understood. Trying to automate chaos just speeds the chaos up.
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Where to Start
The practical approach is to start with one process rather than trying to cover the whole company at once. First, describe the current sequence of actions in detail, define the expected outcome, and agree on exactly how the effect will be measured (for example, less time spent processing a request, or fewer errors).
After that, it makes sense to launch a pilot on one department or one type of task, assess the result, and only then scale the approach to related processes. This step-by-step movement lets you correct course in time, before committing resources to the whole process at once.