Automation is sold as a way to cut headcount. In practice, what it usually buys is accuracy and speed from the people you already have — which is a better outcome and an easier business case.
Where the money actually is
Re-keying between systems. The most common and least defensible cost in any operation. Someone reads a number off one screen and types it into another. It is slow, and it is the single biggest source of errors we see.
Approval chains that wait on people. Not the approval itself — the sitting in an inbox.
Month-end assembly. If closing the month means gathering exports and stitching them together, that work is a process, and processes can be automated.
Compliance checking. Manual verification means duplication, because you check twice to be sure. Automated screening and workflow alerts surface exceptions instead.
How to pick the first one
Choose a process that is high frequency, rule-based, and currently causing visible pain. Frequency matters more than complexity: a two-minute task done sixty times a day is worth more than an hour-long task done monthly.
Then ask whether the rules can actually be written down. If two experienced people would handle the same case differently, you have a judgement, not a process — automate the data gathering around it instead of the decision itself.
What good looks like
In finance, integrated order processing means a sale at a counter is a transaction in the accounts, immediately, with no batch and no re-keying.
In financial services, Straight Through Processing means a trade is booked, confirmed and matched without anyone opening a counterparty portal.
In both cases the pattern is the same: the data is entered once, at the point it is created, by the person who knows it is right.
The honest caveat
Automating a bad process gets you a faster bad process. The mapping exercise before the build is not a formality — it is regularly where the actual saving is found, and occasionally where a client discovers the automation was not needed at all.