Outcome-based pricing, in the AI era.
The cheap, flat software price you are reaching for is a leftover from an era that AI just ended. Everything in AI is usage-based underneath, so the only real question is what you pay for. The honest answer is the outcome, the actual thing the AI was hired to do.
By Naveh Mevorach, founder of Jyper · Published August 23, 2026
Software got cheap because copies cost nothing. AI costs real money every time it works.
A CRM licence is small and flat because the vendor writes the code once and copies it a million times for free. You are paying for access to something that costs almost nothing to run. Use it once a month or ten thousand times, the vendor’s cost barely moves. That is why a flat monthly licence felt honest, and why it became the shape every travel tool takes.
AI is a different kind of thing entirely. Every brief it reads, every supplier it emails, every price it works out spends real money on the machines doing the thinking, every single time it runs. The cost does not vanish once the product is built. It comes back on every task, for the life of the product. AI does not behave like software. It behaves like labor.
Everything in AI is usage-based underneath.
Because AI has a real cost on every run, no one can sell you a true flat fee for it. Not even the labs that make the models. You have probably already met this rule on your own phone: the $20 chat subscriptions from OpenAI and Anthropic come with usage limits, the $200 tiers come with bigger ones, and heavy users hit both. Push past them and the answer from every lab is the same. Start paying for usage.
The $20 and $200 tiers are not prices. They are starting points, priced to feel flat until you lean on them. So when a travel vendor promises “unlimited AI for one flat monthly fee,” one of two things is true. Either the AI is throttled hard enough to be cheap to run, which means it is too weak to actually do your quoting, or it is genuinely capable and they are quietly losing money on every heavy user until the day they cap it, meter it, or raise the price. A cheap, flat AI price is not a bargain. It is the tell that the AI underneath is not really doing the work.
Once the price has to track the work, there are two shapes.
Accept that AI has to be paid for by the work it does, and the whole question narrows to one fork. You can pay for the work attempted, or for the work that actually paid off.
Pay for the work attempted and you are on a usage meter: tokens, runs, credits. Every draft, every dead-end supplier search, every quote that never closes still adds to the bill. The meter does not care whether any of it made you money. It is honest about cost, but it quietly puts the vendor on the wrong side of the table: they earn more the more the machine churns, win or lose.
Pay for the work that paid off, and the bill only moves when the result you actually wanted shows up. That is outcome-based pricing, and it is the shape this whole page is about.
You pay for the thing the AI was hired to do.
Outcome-based pricing is simple to state. Name the job the AI exists to do, and pay only when it is done. Not per seat, not per token, not per attempt. Per result. If the AI grinds through a thousand tokens and the result never arrives, that is the vendor’s loss, not yours. That is the line that matters, and it is the reason outcome pricing is the one shape where the vendor genuinely has skin in the game.
The clearest example outside travel is Fin, Intercom’s AI support agent and the biggest success story in AI customer service. Fin does not charge per seat or per message. It charges $0.99 per resolution: a support conversation actually resolved, or you pay nothing. The one outcome Fin exists to produce is the only thing on the invoice.
Notice what Fin’s price is not. It is not a percentage. It is a flat 99 cents, a fixed fee per outcome. That is the part people miss: outcome pricing is about what you pay for, the achieved result, not how the number is worked out. Charge a fixed amount per outcome, or a share of what the outcome is worth. Both are outcome-based, as long as nothing is billed until the result lands.
Commission is just how we charge the outcome.
Jyper’s outcome is confirmed business. We invoice a commission only on bookings you actually confirm through Jyper. No confirmed booking, no fee. Our invoice is not a cost sitting on top of a maybe. It is proof that money already reached you.
The commission is not the point, though, and it is worth being clear about that. We could in theory charge a flat fee for every confirmed booking, the way Fin charges a flat fee per resolved chat. We charge a commission instead because travel value scales with the size of the deal: a small FIT booking and a 300-person congress are not the same outcome, and a percentage tracks that honestly where a flat fee would not. The percentage is a detail. The principle is the trigger: you pay for a won booking, and only for a won booking.
Follow it through and every incentive lands where you want it. We earn nothing from your headcount, so we have no reason to keep people parked at screens. We earn nothing from quotes that die, so we have every reason to make your proposals land faster, read sharper, and close more often. We get paid at the very end of the pipeline, so we have to care about all of it: the reading, the supplier replies, the costing, the proposal your client actually opens. The only way our number goes up is if yours goes up first.
You decide how much of our pay rides on the outcome.
Outcome pricing is our conviction, so we let you choose how far to take it. Think of it as three settings on one dial, and the real difference between them is how much of Jyper’s own money we put behind the promise.
Fixed is a flat monthly fee and no commission at all: for when you want a predictable number and are happy to carry the risk yourself. Aligned is a smaller base plus a commission on confirmed business: we split the outcome with you. Starter is a minimal base and a higher commission: your AI employee works nearly for free until you win, and we carry almost all of the risk. That last one is the tier we are happiest to put on the table, because it only pays us if we are right about ourselves.
You choose which of those we live on, you move between them whenever you want, and the whole thing switches off at the start of any month. Three things are fixed in writing: the commission only ever touches business confirmed through Jyper, never your overall turnover; the numbers are set with you on a call so they fit your margins before you commit; and the first 30 days are fully money-back. You are not signing up to an open meter. You are deciding how hard we have to bet on our own product.
When flat pricing is exactly right.
None of this makes per-seat pricing a trick. For software you operate, it is the honest price. A CRM, an itinerary builder, a quoting platform where your team still does every step: you are renting a nicer workspace, so paying per person renting it is exactly fair. The same holds from the other direction: never pay a commission for a better broom.
Match the price to what the thing actually is. Flat, per seat, for a tool your team drives. Outcome, for an AI that does the work itself. The mistakes are the crossed pairs: a commission on a better broom is a bad deal for you, and a flat per-seat fee for real AI is a bad deal too, just a quieter one, because it only pencils out for the vendor if the AI never quite does its job.
Ours is the second kind, priced accordingly. Whether Jyper truly does the work in your operation is not something to take from this page: run the pilot, measure it, and hold us to the result.
Four questions for every AI vendor. Including us.
Whatever you end up buying, from us or anyone else, put these on the table and keep the answers in writing:
What exactly is the outcome I am paying for?
Make the vendor name it in one sentence. Fin’s outcome is a resolved support conversation. Jyper’s is a confirmed booking. If a vendor cannot state the outcome plainly, they are selling you access or usage dressed up as results.
If the AI does the work but nothing comes of it, who pays?
This is the whole test. In real outcome pricing, the vendor absorbs the cost of every token the AI burned on work that did not land. If the answer is "you still pay", it is a usage meter with better marketing.
What happens to your revenue if I need fewer seats next year?
A vendor paid per seat loses money when AI works and your team does more with fewer people. Their good year and your transformation pull in opposite directions. An outcome-priced vendor only grows when your results grow.
How do I leave?
You should be able to switch off month to month and export everything. Pricing only proves alignment if walking away is easy. Otherwise it is just another lock-in with a friendlier invoice.