The conversation has moved. A year ago the question was how to prompt. Now it is where AI belongs inside the work, and whether a given workflow needs to exist at all.
AI is a process intervention. That places it third in the sequence, and it is why so much of it has returned nothing. A tool applied to a function that has no shared account of how work moves will automate a process nobody agreed on. The output arrives faster and the delivery problem is untouched.
The first question is not which tool. It is which workflows are real, which are compensating for something in the layers above them, and which should be removed rather than optimized. Automating a workflow that should not exist makes the wrong thing faster, and gives it a budget.
What is left after that is the honest candidate list. Repetitive, high volume, currently absorbing senior time, and low variance in the judgement required. Scoping, kick-off, onboarding, forecasting and resource planning are usually on it.
I have built these. Scoping agents, kick-off and onboarding applications, revenue forecasting and engineer scheduling tools. That is the reason I can tell you where the integration point is and who still has to own the decision, rather than recommending a platform.