Yes, a huge value of LLMs is having all three circles and moving all of that work into the background. (headless)

Boiling down all knowledge work to the following workflow:

Inputs -> Analysis -> Action

There would be value to just be able to put an LLM in a loop ("Go get inputs. Make decision. Take action.").

What I think is going to happen is that the human in the loop is going to end up being an engineer/super user who builds a program/workflow that uses the LLM for the Analysis with the Action step being launched externally from the LLM based on the LLM's response.

Inputs (Workflow calls LLM) -> Analysis (Inputs + Analysis Prompt + Instructions to return payload in specific format) -> Action (Check payload and take action)

It doesn't solve prompt injection but mitigates some of the risk while still leveraging AI to make business move cheaper and faster. (Quality being the factor other than Time and Cost for measuring a task and the factor I am not speaking to.)