"AI worker" is showing up in job posts, product names and analyst decks, usually meaning something slightly different each time. Here is the definition we use at Harmona, what it excludes, and how to tell a Worker from the three things it is most often confused with.
A short definition
An AI Worker is a persistent colleague, not a chat window. It has four properties a chatbot doesn't.
- A surface that stays. A Worker owns a board. What you ask for becomes a tile on that board (a table, a chart, a list, a note, a reminder) and the tile refreshes on its own schedule, without a model in the loop. The number on the board is the number in the source.
- Memory and rules. "From now on, amounts in EUR" becomes a standing rule the Worker follows on every turn. Memory is per person: in a shared Worker, everyone sees only their own.
- Work that happens while you're away. You hand over an outcome once ("every Monday at 08:00, brief the pipeline and flag deals silent for 7+ days"). The Worker runs it on schedule, keeps to the permissions you granted at creation, and reports to your inbox.
- A person before anything leaves. Reads, refreshes and analysis run on their own. Anything outbound, an e-mail, a ticket update, a CRM change, waits on an approval card. You approve or decline; every action stays on the record.
Worker vs agent
An agent is an assistant people chat with, grounded in your documents, databases and drives, published in a web app, in Teams, through an API or on your site. It answers when asked and stops. A Worker uses agents (and workflows) as tools and adds the persistent board, memory, rules and schedules on top. Rule of thumb: if it forgets you between conversations, it's an agent.
Worker vs copilot
A copilot lives inside one application and helps you use that application: write this e-mail, summarise this document, draft this formula. It is excellent at the app it lives in and blind to everything outside it. A Worker sits across applications: your CRM, your mailbox, your database and your ticket queue on one board, read with your own permissions.
Worker vs workflow
A workflow is a fixed sequence that runs on a trigger: every morning, fetch open deals, classify them, post a digest. It is predictable and repeatable, which is the point. A Worker is conversational and cumulative: you build it up over weeks, and it can start workflows as one of its tools.
Side by side
| Worker | Agent | Copilot | Workflow | |
|---|---|---|---|---|
| Lives | On its own board | In a chat | Inside one app | In a schedule |
| Remembers between sessions | Yes, rules and memory | Usually not | No | Not applicable |
| Acts while you're away | Yes, delegated tasks | No | No | Yes, on trigger |
| Reads across your tools | Yes, with your permissions | The sources you connect | Only its own app | Yes, per step |
| Human approval before outbound actions | Approval card | Approval card when it has tools | Depends on the app | Approval step |
| Personal or shared | Both | Published to channels | Personal | Shared |
What a Worker is not
It is not a general model with a long context window; the board and the recipes behind it are the product, not the model. It is not "autonomous AI" in the sense of acting without limits; a Worker's unattended tasks keep to a permission list you approved and decline the rest. And it is not a replacement for agents and workflows; it is the layer that uses them.
Where to start
Most teams start with one Worker for one team: Sales on HubSpot and a mailbox, Support on Zoho Desk and the docs, Finance on a database and spreadsheets. The first afternoon is spent connecting sources and pinning the three tiles the team looks at every morning. The solution pages list the starter set per team.