This is analogous to the increasing use of ML in the insurance industry to spot fraud. The chances are there are a large suite of existing rules that have accumulated over the years, put together by people who are long gone and their successors are scared to change those rules or the way in which they are implemented.
ML is seen as a more maintainable way to implement those rules.