Concept

What is an AI worker?

An AI worker is an AI agent that has been given identity, memory, permissions, and an audit record — an employee, not a tool. Where a bare agent executes tasks, an AI worker holds a role: it is hired for a scope, remembers every prior interaction, acts only within its permissions, and answers for everything it does.

In practice

• Hired in a conversation: you describe the role; the platform researches it and proposes a complete worker — tools, channels, and autonomy level — for you to approve.
• Works across channels next to your human team, with memory that follows the conversation.
• Carries goal-oriented work over hours or days — follows up, tracks status, reports back.
• Operates under per-tool permissions, human approval gates, and a complete event log.

AI worker vs. AI agent vs. AI tool

A tool waits to be used. An agent acts autonomously but arrives with nothing — no identity, no memory, no accountability. An AI worker is an agent that has been employed: identity and permissions define who it is, memory defines what it knows, and the audit record defines what it has done. The model was always the easy 5%; the worker is the other 95%.

Common questions

How is an AI worker different from a chatbot?

A chatbot answers within a session and forgets. An AI worker holds a lasting identity and memory, executes real actions under permissions, and leaves an auditable record of every message, tool call, and decision.

Who is responsible when an AI worker acts?

Every action has an owner. Anything without an owner is surfaced by the platform, and anything that shouldn't have run can be reversed. Responsibility is engineered in, not implied.