Isn't data entry a really good usecase for the LLM technologies? Of course depending on the exact usecase. But most "data entry" jobs are data transformation jobs and they get automated using ML techniques all the time. Current LLMs are really good at data transformation too.
If your core feature is data entry, you probably want to get as close to 100% accuracy as possible.
"AI" (LLM-based automation) is only useful if you don't really care about the accuracy of the output. It usually gets most of the data transformations mostly right, enough for people to blindly copy/paste its output, but sometimes it goes off the rails. But hey, when it does, at least it'll apologise for its own failings.
