How Much Does AI Cost for a Business: What Makes Up the Bill

«How much does AI cost» has no single answer because the bill has four separate lines, and companies are usually surprised by the ones they did not expect.

What makes up the cost of AI for a business?

• The model itself. Payment per volume of text processed. For a typical small-business task — a few hundred documents or conversations a day — this runs from ₽3,000 to ₽15,000 a month. Usually the smallest line, and the one everybody focuses on.
• The plumbing around it. The code connecting the model to your data, your systems and your rules. This is where the build money goes, and it is a one-off cost rather than a monthly one.
• Infrastructure. A server, storage, backups, monitoring. From nothing, if everything runs in someone else's cloud, up to tens of thousands a month for your own machine.
• Supervision. Somebody has to look at what the system produced, catch the drift and correct the rules. Budget for this from the start — from ₽20,000 a month — because a system nobody watches quietly degrades.

A common mistake is to compare suppliers on the first line alone. The model is rarely what makes AI expensive.

Cloud or your own server?

A cloud model means no upfront spend, no maintenance and the newest versions as they appear. You pay for what you use and can stop at any time. The trade-offs are that your data leaves your perimeter, the price can change without you, and availability is not in your hands.

Your own server means the data never leaves, the cost is fixed and predictable, and nobody can change the terms. It earns its keep at high, steady volume, or where the data genuinely cannot go outside — medical records, personal data under strict regimes, commercial secrets with real consequences.

For most small and mid-sized companies the cloud is the right starting point. The honest test: work out what a month in the cloud costs at your real volume, and compare it with the monthly cost of owning and running a machine, including the person who maintains it. Below roughly ₽40,000 a month in cloud spend, owning hardware rarely pays.

How do you cut the bill without losing quality?

• Use the smaller model where it suffices. Sorting mail by type does not need the most capable model available. Reserve the expensive one for the steps that genuinely require judgement.
• Do not send what is not needed. Most of the bill is volume of text. Trimming the input to the relevant fragment often halves the cost with no change in output.
• Cache repeated answers. The same twenty questions arrive every week. There is no reason to pay for each one afresh.
• Filter before the model. Ordinary code can discard the obvious cases — spam, duplicates, empty forms — before anything reaches the paid step.

Together these routinely cut a running bill by half or more, and none of them touches the quality of what the system produces.

What should you compare the cost against?

Against the hours it replaces, not against other suppliers' quotes. A process that occupied a person for two hours a day and now needs fifteen minutes of checking has freed roughly thirty-five hours a month. Put your own hourly cost against that and you have the only comparison that matters.

If the figures do not work at that scale, the answer is not a cheaper model. It is a different process — one that repeats more often or costs more time.