This is just a data pipeline . Multiple tools support what you describe . Or you could do this as a batch job / use spark to perform the task as a stream.

This is how a lot of things work already. Neural nets are bad at strict logic. If you give one net one of two tasks, depending on a state, it takes a lot of training before the learned tasks separate from each other. Ideally, the aspects unique to each task would be completely separate and anything common to both tasks would occur once in the net and get used for both. In practice, it increases training requirements by so much that you are better off creating 2 nets and logically separating them with your own code or even creating a 3rd net to detect which state you are in.

What you describe is how I imagine the first recognizably intelligent AI system being built -- a set of communicating independent modules all running at the same time.

Yeah I'd envisaged this for local second hand websites to better crop and auto categorise images.

this is already how it works