A practical checklist for deciding whether an AI automation project is worth building

AI automation projects often fail before implementation starts. The workflow may be technically possible, but the business case is fuzzy, the handoff is unclear, or the human approval step is missing. Here is the quick filter I use before scoping one: What manual task is being replaced or assisted? How often does it happen? How many minutes does it take each time? What is the cost of a wrong output? Which step requires human approval? Which system owns the final source of truth? What happens...