An AI employee is a named, branded conversational worker assigned a specific business job — answering questions, qualifying leads, booking appointments or guiding purchases — with defined scope, escalation rules and write-backs into the business's existing systems. It differs from a chatbot in that it is measured on an outcome, not on responses delivered.
A chatbot answers questions inside a widget and is measured on containment. An AI agent executes multi-step tasks against tools and is measured on task completion. An AI employee is defined by a job description: it holds a role, has a scope of authority, escalates to a named human, and writes records into the business's systems.
Before deployment an AI employee is given a role, permitted knowledge, escalation triggers and a delivery destination. Those four decisions matter more than the model behind it.
They absorb repetitive always-on work and hand higher-value conversations to humans; most deployments increase qualified conversations rather than cut headcount.
In CaaS deployments, yes — a visible disclosure mark plus an append-only provenance record.
Same-day for one role; days for a multi-role job stack.
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