Studio OS · a digital team

AI employees for business: a clear responsibility for each colleague

We call an agent with an ongoing business role and area of responsibility an AI employee. In Studio OS, Kairi tracks sales, Madis projects and Liisa invoicing. Sven helps coordinate the whole. You set goals and decide how independently they can work.

How does an AI agent work?
Operating model

What turns an AI agent into an AI employee?

AI employee is our name for a digital colleague with a defined business role. A name makes it clear who to turn to; the work relies on a goal, relevant information, tools and agreed permissions.

An ongoing responsibility means the work continues beyond one reply or draft. Kairi follows sales opportunities, Madis watches the next project stage and Liisa tracks invoicing. Progress and earlier decisions stay visible to the team.

You run the company. Studio OS shows what agents did, why they did it and what needs your decision. You can change priorities, approve consequential steps and increase or limit permissions.

Read the thinking behind Studio OS

Four traits of a dependable AI employee

01

Clear responsibility

One role and an understandable area of responsibility. Sales does not rewrite accounting and finance does not promise delivery dates.

02

Continuity

It knows which customer conversation, project or task is in progress instead of beginning every question from zero.

03

Cooperation between roles

When a proposal becomes a project or completed work becomes an invoice, the next specialist receives the information they need. You can see who is handling the work.

04

Boundaries you set

The manager approves work, changes priorities and decides which routine steps may graduate to automatic after testing.

How does a digital colleague join the team?

Start with one area of responsibility. Agree on a goal, provide the tools and try the working arrangement together.

  1. 1

    Role and expected result

    Define what the AI employee owns, what it never does, and which result it needs to show the manager.

  2. 2

    Provide tools and examples

    Connect the necessary systems and teach your services, prices, vocabulary and strong examples from past work.

  3. 3

    First tasks with your approval

    Review completed work together and refine the rules. Increase autonomy once the results are reliable.

Which responsibility could an AI colleague take on?

  • Sales and customer relationships: inquiries, opportunity assessment, follow-ups and proposals.
  • Project management: tasks, deadlines, customer updates and handovers.
  • Invoicing: invoice drafts, payment tracking and financial overviews.
  • Your field of work: tenders, events, inventory or another agreed responsibility.

Frequently asked questions about AI employees

Does an AI employee replace a person?

It may sometimes remove the need for a separate routine back-office role, but our aim is not to imitate people. AI prepares, tracks and moves work; a person remains responsible for relationships, judgement and important decisions.

Is one AI assistant enough for a company?

One role may be enough at first. When several functions are involved, a team of agents with separate responsibilities is clearer and safer than one all-powerful assistant because permissions, context and outcomes do not become tangled.

How can I supervise an AI employee?

Every action, rationale, draft and hand-off appears on the Studio OS timeline. A manager can edit, reject or approve the result and reduce the agent's permissions whenever needed.

Does an AI employee work around the clock?

It can sort messages, gather information and prepare drafts in the background at any time. Outgoing or risky actions still follow the approval rules you set.

What does a team of AI employees cost?

The starter package begins at €349 per month. Custom roles, multiple users and specialist integrations are priced after workflow discovery.

Which responsibility would you give your first AI colleague?

Describe work you currently have to keep watching yourself. We will look together at how an AI colleague could handle it.