Automate the handoff. Keep the judgment.

Follow the information

Before adding another AI tool, follow one piece of work from request to delivery. Where does it wait? Where is information copied twice? Where does someone have to ask a question that has already been answered? These are concrete places to examine.

Imagine a content brief arriving by email, becoming a task, turning into a draft and eventually reaching an editor. Transferring the title, audience, due date and source links is a different task from deciding whether the story is worth publishing.

Give every stage an exit condition

A draft should not become approved merely because a timer has elapsed. Define what is required to move forward: a source attached, a claim checked, a named reviewer or a recorded decision. Treat a missing requirement as a visible state, not something to silently fill in.

Keep the original source and the resulting draft separate. If a system changes a sentence, retain enough history to understand what changed. If a service fails, keep the job pending or failed rather than reporting completion.

Design the exception before the happy path

Try a duplicate brief, an unavailable source and an empty response. Ask what happens if a task runs twice. A workflow that can explain these cases is easier to operate than one that only works in a demonstration.

Give the operator a stop control. Keep a record of the provider, time and cost when those values are available. Unknown cost should remain unknown until it can be reconciled.

The Zervue take

A useful division of labour is simple: automate repeatable movement of information, and make consequential judgment visible. Start with one handoff, measure it and only then expand.