Why “price tag vs price tag” is the wrong comparison
The temptation is obvious: take the price of an AI employee and hold it against a salary. It does not work. A human hire carries payroll taxes, holidays, sick days, a workstation and a ceiling on output on top of the salary itself. An AI carries a one-off configuration and the cost of compute — but no weekends off and no ceiling on volume. The fair comparison is the total cost of running the process.
What makes up the cost
| Item | One-off / recurring | Depends on |
|---|---|---|
| Configuration against your processes | one-off | complexity of tasks, volume of data |
| Hardware or compute | recurring | local server or cloud |
| Support during rollout | recurring (first months) | how critical the process is |
| Extensions | as you grow | new scenarios |
The actual numbers depend on the role and the volume, so we cost them per task. Role-by-role reference points are on the AI employees page.
When it pays back quickly
- •A lot of repetitive work — dozens of hours of routine a month,
- •A process built around text and documents (parsing, entry, replies),
- •A need for round-the-clock coverage with no gaps,
- •Load spikes that would be expensive to staff for.
Where a human is irreplaceable
AI takes the routine, but decisions, accountability and empathy stay with people. Which is why the model that works is AI plus human: the model prepares, the person checks and decides. On picking the right process to start with, see how a support bot is built properly — the same logic applies to any role.
To match an AI employee to a specific role and run the numbers, see Stitex AI employees.
Frequently asked questions
Is an AI employee cheaper than a human one?
On direct costs, usually yes: no salary, payroll taxes, holidays or sick leave. But there is a real cost to setting it up and supporting it. The honest comparison is the total cost of the process at a given volume of work, not one price tag against another.
What makes up the price?
Configuration against your processes and data, the hardware or compute subscription, and support during the first months. One-off deployment costs and recurring running costs are counted separately.
When does an AI employee pay for itself?
Fastest where there is a lot of repetitive work — dozens of hours of routine a month. The larger the volume, the faster the return. At small volumes the gain is modest, and we say so before anyone signs anything.
Where is a human still essential?
Wherever judgement, empathy and accountability are needed: difficult negotiations, non-standard situations, final sign-off. AI removes the routine, it does not replace a person wholesale.