AI assistant vs AI employee: where the line actually is

Technically, an AI assistant and an AI employee are the same four layers — model, memory, tools, permissions. What differs is the working contract. An assistant helps with work you still own: you direct, it executes, you review. An AI employee is delegated a slice of work to own: it executes on standing rules, and you supervise outcomes — weekly pipeline reviews rather than message-by-message approval.

That shift, from reviewing steps to reviewing outcomes, is the entire difference — and it's why one costs like software and the other is pitched like headcount.

Moving from assistant to AI employee means someone did the unglamorous work: your workflow written down as rules, your systems connected with scoped permissions, exception paths defined for the cases the rules don't cover, and an audit trail so 'what did it do last week?' has an answer. That engineering is the premium. If a vendor charges employee prices but can't show those artefacts, you're paying delegation money for assistance.

Choose the assistant contract when the work needs your judgment message-by-message, when your rules aren't written down yet, or when volume is low enough that reviewing costs you little. Most individuals and many SMEs genuinely belong here — at a tenth of the price.

Choose the employee contract when a workflow is repetitive, describable, and high-volume enough that step-by-step review is the bottleneck — and you're prepared to hold weekly outcome reviews, because supervision doesn't disappear, it changes altitude.

The honest sequence, and the one we recommend in every brief our finder produces: start on the assistant contract, let the approval queue teach you which decisions are genuinely mechanical, then promote exactly those to autonomy. Buying day-one delegation means paying someone to guess your rules.