I find this approach quite interesting. Leveraging the text/context skills as pure logical and structred processing wouldn't work. Basically, dealing with edge cases as almost everthing is an edge case in doc processing. Would like to know, if and how easy this is transferable to banking? E.g. processing consumer loans, which includes a fair amount of insurance paperwork as well.

> We built a self-correcting extraction system that went from 80% to 95% row count accuracy

Got to wonder who has any use for 95% accuracy - at just counting rows.