Automation projects that pay for themselves, and those that do not
The difference is usually whether the process was stable before anyone tried to automate it.
By Xonique Editorial TeamEditorial Desk
Published · 6 min read
Automation returns are highly predictable once one question is answered honestly: does this process behave the same way every time?
Stabilise before automating
If two people perform the process differently and both are considered correct, the process is not ready. Automating it will simply pick a winner arbitrarily.
What to check before you commit
- Confirm the process is performed consistently.
- Document it as it is actually done.
- Automate one variant, then measure exceptions.
A note on measurement
Teams that treat automation selection as an engineering project usually measure the wrong thing. Instrument the business outcome first — cycle time, cost per transaction, resolution rate, revenue retention — then work backwards to the technical metrics that move it.
- automation
- process
- operations
