The default move when work piles up is to hire. The function lead writes the job description, talent posts it, the company spends 90 days recruiting, and a new salary lands on the books. The work gets covered. The question of whether the work should have existed in that shape, or whether a tool could have done it for a fraction of the cost, never gets asked. By the time it does, the seat is filled and the conversation is harder.
The flip side is also wrong. Some operators have read enough about AI that they assume every new role is a candidate for automation. They burn 90 days trying to wire up a tool to do a job that needed judgment, escalations, and exceptions. The work gets covered worse than the hire would have, and the team loses faith in the technology stack on top of it.
The right answer is almost never all hire or all automate. It is a portfolio decision made one role at a time, against criteria you can defend in a board meeting.
The framework in this guide gives you those criteria. Eight of them, scored against any role you are considering, with a clear cutoff between automate, hire, and a hybrid where you do both. It is rooted in real engagements, including a $94K admin role at an SMB where the answer turned out to be neither hire nor pure automation. We walk that example end to end.