What you are describing seems to be essentially the process of science: Develop, step by step, the causal mechanisms at play until you solve the problem.

It should not be underestimated that our collective knowledge of causal inference with statistical methods is good, but still improving.

I mean, in that sense, ML is helpful. Heck, it is already used in causal inference in two-step estimators and the like.