AI Employee Pricing Explained: What You Pay For

Most AI pricing pages tell you a number and hope you stop reading. Then the first invoice arrives and it does not match the number, and you spend an afternoon working out why. That gap is almost never dishonesty. It is a pricing model nobody bothered to explain.

So here is the whole model in one sentence: you rent capacity monthly, and you spend a metered allowance as work gets done. Everything else in this article is detail hanging off those two ideas.

Sistava uses exactly that shape. You pick a plan, hire AI employees for specific jobs, connect the tools those jobs need, and the employees work. Every plan comes with a monthly credit allowance included, and there is a free tier with a small one-time allowance so you can watch the meter before you commit.

What are you actually paying for?

Capacity and consumption. The plan fee buys capacity: a credit allowance, a number of employees you can have hired at once, a number of workspaces, a number of seats for your own team. Those limits step up with the tier and they are the same whether you use them or not.

Consumption is the credits themselves. They are spent when an employee reads a document, thinks through a task, writes something, or calls a connected tool. Nothing is charged for having an employee sitting idle. Charges follow work.

What is a credit, in plain terms?

A credit is a unit of work done, not a unit of time passed. Think of it like fuel rather than rent. A short reply to a customer uses a small number. A run that reads a long report, checks it against a spreadsheet, and writes a summary uses a much larger number, because more actually happened.

The rough drivers are easy to remember. How much material the employee has to read, how much it has to write, how many steps it takes to finish, and how many tools it has to call along the way. Longer inputs, longer outputs, and more steps all push the number up.

• Light work. Answering a short question, drafting a two-line reply, tagging an incoming message. Barely moves the meter.
• Medium work. Writing a customer email with context pulled from your CRM, summarising a meeting, drafting a product description.
• Heavy work. Researching twenty companies, reading a long document set, producing a multi-page report with checks along the way.
• Repeating work. A scheduled job that runs daily costs its per-run amount thirty times. Frequency multiplies everything above.

This is why an allowance of 20,000 credits is not a number you can translate into tasks without knowing your own tasks. Twenty thousand goes a long way on short replies and disappears quickly on deep research. Your mix decides your mileage.

Why does usage-based pricing exist at all?

Because the work genuinely costs different amounts to perform, and a flat fee has to be priced for the heaviest customer in the room. When everyone pays one price, the light user quietly subsidises the heavy one. Metering the work fixes that, and it is the reason a quiet month can cost you almost nothing beyond the plan fee.

There is a second reason worth being blunt about. Every serious AI task has a real cost behind it, and that cost scales with how much thinking and reading the work required. A pricing model that pretended otherwise would either have to cap what you can do or charge everyone for the worst case.

The fair trade for accepting a variable line on your bill is that you get to see it and control it. Usage is visible as it accumulates, broken down by employee and by job, and you can set a cap. A meter you cannot read is a bad deal. A meter you can read is just honest pricing.

Two months at the same store, side by side

Priya sells skincare online. She hired one AI employee for customer support triage and drafting, and a second for writing product descriptions. Her February and her April looked nothing alike, and that is the whole lesson.

In February she got about 300 support emails and published nothing new. The support employee handled the routine ones, drafted replies for the rest, and escalated eleven to her. Usage stayed well inside her allowance and her bill was the plan fee, full stop.

April was a launch. Support volume nearly quadrupled to 1,100 emails, and she needed 40 product descriptions written in a fortnight. Usage climbed to most of her monthly allowance, which is exactly what should happen when you do four times the work.

The useful detail is what she did with the information. She saw the climb in week two, not on an invoice in week five. She raised her cap deliberately for the launch, then put it back afterwards. That is the difference between a variable bill and an unpredictable one.

How to keep the variable half predictable

You cannot make usage flat, and you should not want to, because flat means you are paying for a peak you did not have. What you can do is make it legible. Four habits do almost all of the work.

Four habits that keep your bill boring

1. Give each employee one job — A narrow scope produces a usage pattern you can recognise. A general helper doing five unrelated things produces a number you cannot explain.
2. Look at usage in week one, not week four — Check it twice in the first fortnight. You are learning your own baseline, and the baseline is what makes every later number readable.
3. Set the cap before you need it — Pick a ceiling you are comfortable with while you are calm. Raise it deliberately for a known peak, then put it back.
4. Watch scheduled jobs closely — Anything that runs on a schedule multiplies its own cost by its frequency. A daily job you forgot about is the most common source of a surprise.

What no plan buys you, at any tier

Every tier buys more capacity for the same kind of work. None of them buys a different kind of work. It is worth being clear about that boundary before you pick a plan, because paying more will not move it.

No plan gets you someone physically present, someone legally accountable who can sign a filing or a contract, or someone who will hold a relationship with your best customer over three years. No plan turns an undefined process into a defined one, either. If you cannot write the job down, the software cannot do it well at any price.

That is also where hiring a person is simply the right spend. When the work needs accountability, a decision under uncertainty, or a human being on the other end of a hard conversation, hire for it and do not try to price your way around it. Most businesses that get good at this end up with both, and the people keep the work worth keeping.

Pricing stops being confusing the moment you separate the two halves. Capacity is a decision you make once and revisit when you grow. Consumption is a habit you build in the first fortnight and then barely think about.

Get both of those right and the bill becomes the least interesting thing about the software, which is exactly where it belongs. What should occupy you instead is which jobs are specified enough to hand over, and which ones were always going to need you.