The situation.
A growing company ran its back office the way most do: spreadsheets as the system of record, invoices prepared by hand, the same numbers re-keyed into the accounting tool, the bank, and the reports. Nothing was broken, which is exactly why nothing changed. The cost was paid in hours, every week, by people hired to do something else.
The breaking point was reconciliation. Closing each month meant days of cross-checking between tools that never quite agreed, and every mismatch had to be traced by hand.
What got built.
The work started with a map, not a tool: which steps repeat, which numbers get re-keyed, and which decisions actually require judgment. Automation went only where it removed real hours or a real class of error.
The repetitive steps were then handled by open-source automation connected to the systems the company already used: documents read and filed automatically, transactions matched against records as they arrive, the books kept current continuously instead of reconstructed at month end. Anything ambiguous routes to a person; the automation handles the certain cases and queues the exceptions.
What changed.
About 22 hours a week came back to the team, measured against the live system rather than estimated on a slide. Month-end closing went from days of cross-checking to a review of the exceptions the system had already flagged.
The quieter change is reliability. Numbers re-keyed by hand drift; numbers moved by the system do not. Reports that used to be reconstructed are now simply read.
What this would look like for you.
If your team re-keys the same numbers between tools, this is the engagement that makes it stop.
See the Automate service