Ask leadership where the time goes and you get the business as it is written down. Ask the person doing the task and you get the business as it actually runs: the report rebuilt by hand every Friday, the approval that waits two days for one signature, the customer question answered from scratch for the hundredth time.
The gap between those two versions is where the time and money leak. It is also where most AI projects go wrong. A system specified from the written-down version automates the wrong step, or the right step in the wrong way, and the team quietly goes back to the old way of doing it. Nobody uses it, and the money is gone.
The software itself is rarely the problem. The tools available today are good and getting cheaper. What no tool can tell you is which of your problems is worth solving first, and what solving it would actually save. Only the people inside the business know that, and they will only tell you if they are asked properly.
There is a second reason. People who were asked what slows them down are far more likely to use the thing that fixes it. A system nobody uses has failed however well it was built, so the interviews are as much about adoption as discovery.
Right first, then fast.