What is an AI employee, and how is it different from a chatbot?

An AI employee is software that takes a job from a person and does it in the tools the team already uses. It then reports back where the team talks. Unlike a chatbot, it finishes the task instead of describing it. A person stays in charge of the result.

The label is new and vendors use it loosely. Google Cloud describes AI agents as software systems that pursue goals and complete tasks on behalf of users (Google Cloud, “What are AI agents?”). An AI employee is that idea packaged for a team. It sits in the chat app you already use, it has a defined job, and someone checks its work.

What does an AI employee actually do?

It takes a request, works out the steps, carries them out in your tools and posts the result. A chatbot stops before the middle two steps.

You ask in plain English, in a channel or a thread, the way you would ask a colleague. The AI employee breaks the request into steps. It then uses the tools you have connected, such as a CRM or an accounting package, to do each one. Finally it posts the finished work back in the same thread, so the team can see it.

Here is a short example. The names are made up, and it contains no real results.

Example. An operations lead at Northwind writes in a channel. “Give me a short brief each morning on what is on today.” The AI employee works out which connected tools hold that information and reads them. It posts the first brief in the thread. Once the lead is happy, the brief arrives each morning on a schedule without anyone asking again.

How is an AI employee different from a chatbot, an automation tool or a personal assistant?

A chatbot answers, an automation tool follows a fixed path, a personal assistant serves one person, and an AI employee does a shared job from a plain request. The table sets out the differences in general terms. Products vary, so check each one against your own needs.

Google Cloud draws a similar line between assistants and agents. Its page says an assistant responds to requests and recommends actions, but the user makes the decisions.

Some products sit across these groups. As of 29 September 2026, Lindy’s site describes a private assistant for each person plus a shared one in channels. The Toby and Lindy comparison says Lindy is strong on personal work and on a meeting notetaker. As of the same date, Viktor’s site calls it an AI employee that lives in Slack and Teams. The Toby and Viktor comparison says Viktor is the better fit if you also want Discord, email or mobile apps.

Which jobs suit an AI employee?

Jobs that repeat, have a clear finish and read from tools the team already pays for. A morning brief and a weekly report are typical, because the inputs and the output are the same every time.

Reading is the easiest place to start, because a mistake costs little. Typical reads are invoices and bank transactions in Xero, contacts and companies in HubSpot, and unapproved timesheets and rosters in Deputy. If Xero is your starting point, we wrote a separate guide on using Xero from Slack with an AI assistant.

Writing is the next step, and it needs more care. Adding a note to a CRM record is a small write. It should wait until a person approves it.

Jobs that suit it poorly include anything without a clear finish and anything that depends on knowledge nobody has written down.

What can an AI employee not do, and how do you manage one?

It cannot take responsibility. No product we know of is right every time, so a person has to own the result. Treat it as you would a capable new starter in their first month.

An AI employee also works only in the tools you connect and only as well as the instruction you give it. One that reads your accounting tool is not your accountant and should not be treated as one.

These four habits keep it manageable.

1. Give it one clear job. “Summarise this week’s new contacts” is better than “help with sales”.
2. Check the first result against what you already know. Correct it and ask again.
3. Add a schedule only after the result is right.
4. Keep approval for anything that goes out under your name or changes a record.

Cost is the other limit. Products priced in credits charge more for bigger jobs, so a job that reads several systems uses more than a quick question. Watch the first week of usage before you hand over more.

How do you choose an AI employee?

Choose by testing one real job, then by asking the questions below. Our guide to choosing an AI assistant for Slack goes deeper on the chat-app side.

• Where does it work? Check that it runs in Slack, in Microsoft Teams, or in both if your business uses both.
• Does it finish the job? Ask for a demo where it completes a multi-step task, not one that only drafts text.
• Which tools does it reach? A long list of names is not the same as tools that work. Ask which connections the vendor has checked, and ask to see one working.
• Does it ask before acting? Find out which actions wait for a person and who can change that.
• How is it priced? Compare per-seat pricing with a shared pool, and check whether you can try it without a card.
• Who helps with setup? Check whether a person helps you set up the first jobs or whether you work from a help centre alone.

Where does Toby fit?

Toby is our answer to this category. It is an AI coworker that lives in Slack or Microsoft Teams. It connects to the tools a team already pays for and takes jobs off people’s plates instead of handing back advice.

You message it in plain English, or mention it in a thread. It breaks the request into steps, uses the tools you connected and posts the finished result in the thread. You can give it a schedule, and Toby asks before anything goes out under your name. It works the same way in Slack and in Microsoft Teams, and you approve each tool connection by name.

Setup takes about two minutes. You start with 2,000 free credits, with no card and no sales call. After that, Starter is $25 a month for 20,000 credits, shared by the whole workspace, so nobody pays per seat. Every plan includes onboarding and support. See the pricing or book a demo to watch a whole job from start to finish.

For a personal assistant or a meeting notetaker, the comparison page above points to Lindy. Slack, Microsoft Teams, Xero, HubSpot and Deputy are trademarks of their respective owners. Naming them does not imply a partnership.

Questions

Is an AI employee a real employee?

No. It is software. It has no payroll and no contract, and someone in your team stays accountable for what it produces.

Is an AI employee the same as a chatbot?

No. A chatbot answers a question and leaves the work with you. An AI employee takes the job, uses your connected tools to do it and posts the finished result.

What does an AI employee cost?

It depends on the vendor, and some charge per seat while others share a pool of credits. Toby starts with 2,000 free credits and no card, then Starter is $25 a month for the whole workspace.

Does an AI employee work in Microsoft Teams?

Some do and some do not, so check before you commit. Toby works the same way in Slack and in Microsoft Teams, with one credit pool and one set of connected tools for both.

What should I give an AI employee first?

One small job with a clear finish, such as a morning brief or a weekly report. Check the first result, correct it, then add a schedule.