Every month, our finance director exported the same data from three systems, merged it into a spreadsheet, ran the same pivots, and pasted the results into a board report. It took her four hours. She did it for eight years.
We sat with her for one afternoon and turned the process into a Data Studio pipeline. It pulls from all three systems, joins on the transaction ID, calculates the same metrics, and outputs the report in the format she always used.
Time to run the pipeline now: eleven seconds.
Here's the part that matters. She still reviews every number. The pipeline doesn't replace her judgment. It replaces the copy-paste drudgery that used to eat her Mondays. She spends that time analysing the variance and flagging anomalies, the work she was always too busy to do.
The lesson isn't let AI do your work. The lesson is: let automation handle the mechanical parts, so you can do the parts that need a human mind.