The strongest operating model is rarely “AI or people.” It is a clear division between repeatable execution and human accountability.
AI agents are most useful when the work repeats frequently, the required context can be supplied reliably and the output can be checked. They are less useful when every case is materially different.
A human specialist becomes more valuable as they learn the client, the edge cases and the informal context around the work. That matters when a workflow includes coordination, judgement or relationship handling.
A good hybrid workflow lets AI handle the stable first pass while a named person owns the point where uncertainty begins. The handoff should carry the context, not restart the work.
A cheap automated task can become expensive if it creates cleanup, escalations or management overhead. A person can also become expensive when they spend most of the day on repetitive steps software could handle.