Software pricing evolved around a simple proxy: a seat approximated a user, and a user approximated value. AI breaks the proxy, because AI does work whether or not anyone is logged in.
- ›Why per-seat pricing exists
- ›Where it breaks for AI
- ›What usage-based pricing changes
- ›How to evaluate either
Why per-seat exists
It is easy to understand, predictable to budget, and it aligned reasonably with value for tools people operate directly. Nobody designed it as a trap; it was a sensible approximation for thirty years.
Where it breaks
AI works without a seat. An agent running at 3am belongs to no user. Charging per seat for a system that operates unattended prices the wrong thing entirely.
Usage varies enormously between people. One person may consume more AI in a day than another does in a quarter. A flat per-seat fee overcharges most and undercharges a few.
It penalizes access. The moment adding a person costs money, companies restrict access, which is exactly backwards for a system whose value depends on everyone's data and questions flowing through it.
It hides the real cost. AI has genuine marginal cost. Bundling it into a seat fee means either the vendor caps it invisibly or heavy users subsidize light ones.
What usage-based changes
Cost tracks value. A month where the AI did a lot costs more, and produced more. A quiet month costs less.
Access becomes free. If seats are not the meter, there is no reason to restrict who has access, and a business OS is more useful when everyone is in it.
Spending is attributable. You can see which use cases consume what, which makes the ROI question answerable per case rather than as a bundle. See calculating AI ROI honestly.
Waste becomes visible. An agent producing output nobody reads shows up as a line in the usage report, which is a healthy forcing function.
The objection: predictability
The fair criticism of usage-based pricing is budget uncertainty. Three things address it:
- ›Included monthly allowances that cover normal use, so most months are flat.
- ›Costs shown before expensive operations, so nothing is a surprise.
- ›Rate and budget caps on automated work, so an agent cannot run away with your allowance.
Brainis uses this shape: every module free with no per-seat charge, a monthly credit allowance per plan, top-up packs that never expire, and per-action costs published up front.
How to evaluate either model
Ask three questions of any AI vendor:
Tip: Model your actual expected usage against both structures before committing to an annual contract. The crossover point is usually much lower than vendors' comparison tables suggest.
FAQ
Is usage-based always cheaper?
No. Heavy AI users may pay more, and should, because they are getting more. It is more honest rather than universally cheaper.
How do we prevent runaway costs?
Caps on automated work, allowances that reset monthly, and visible per-action costs. Automated work is where uncontrolled spend would come from, so that is where the limits belong.
What about the free tier?
Check whether it is a complete product or a trial. Brainis plans start at $29 a month and include all 11 modules; the Free tier is a 3-user, 50-credit starting point rather than the product. See how Brainis pricing works.
Brainis prices AI by work done, not by headcount: every module free, credits metered and itemized. See pricing.
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