Fifteen AI employees and the limit of each

What each one prepares, and where a person takes over

Diagram: how an AI employee works
  1. Task“Match the invoice to the contract”
  2. Company datareads only the areas it is allowed
  3. Draftprepares a proposal with links to records
  4. A person decidesa person approves — logged
A diagram of how an AI employee works, not a screenshot. The example is a fictional company.
undefined
undefinedundefined

What an AI employee is

A line of work, not a chat: it reads set areas of company data, prepares set kinds of drafts, has a daily budget and named people who may accept its proposals. A proposal changes nothing until a person decides; the code has no route for it to carry itself out.

Fifteen lines of work

The list is closed: no setting adds a sixteenth.

More detail
  • Sales — qualifies requests, drafts replies and offers. A salesperson closes the deal and sends the e-mail.
  • Support — drafts answers from the confirmed knowledge base; a staff member sends them. The website chat is a separate tool without a model.
  • Marketing — collects campaign results from exports and flags deviations. It changes nothing in ad accounts.
  • HR — drafts vacancy descriptions and hiring-stage summaries. It makes no decisions about people.
  • Finance — compares plan with actuals before an invoice is approved. It moves no money.
  • Legal assistant — extracts deadlines and obligations from contracts for a person to check. No legal opinions.
  • Operations — runs requests by the procedure, watches deadlines, records deviations. People carry out the steps.
  • Customer success — proposes an account status from a closed list of words. It computes no score.
  • Quality — reviews conversations against a checklist, rating the answer, not its author.
  • Procurement — puts requests and supplier terms into one table, unranked. The buyer chooses.
  • Project management — collects tasks, sets deadlines, shows what is overdue; the database rejects cycles in the plan.
  • Compliance — checks actions against written rules and shows missing confirmations. It does not certify legal compliance.
  • IT helpdesk — takes and routes staff requests. It grants no access.
  • Knowledge — finds outdated and conflicting documents and proposes fixes; a second person confirms publication.
  • BI analyst — explains changes in metrics and names the source of every number. No forecasts.

How an agent is switched on

Every agent ships switched off with a zero budget.

More detail

It first runs in a test mode, where everything it produces stays in a sandbox; moving it into work takes a decision by two people. Budget and go-live steps require the password again and are written to the journal.

An agent whose module is off does not start. A run that would exceed the spend ceiling is refused in advance, with the reason recorded.

What the agents run on

By default, built-in rules without an external model: they select records by matching words, write no prose and refuse with a stated reason what they cannot do.

More detail

An external model is switched on by your decision: a key, the owner’s permission and its host on the outbound allow-list. Live runs on test data passed in September 2026; its quality on your data is measured in the pilot.

Basis: the AI employee registry; the registry of modules and industry templates. This page describes what exists in this build, not what is planned.

We will show the system on one of your processes.

A 30-minute demo, no prepayment and nothing to install. Write to us and we will agree on a time.

Book a demo