Fixed price per use case vs hourly AI consulting.

There are two ways to pay for AI work: by the hour, or by the outcome. They sound like billing details. They are actually two different incentive systems, and they produce different projects.

What hourly billing optimizes for

An hourly contract pays the vendor more the longer the work takes. Nobody plans to exploit that, but the incentive leaks into everything: scoping gets generous, discovery stretches, meetings multiply. The client carries all the risk of the estimate being wrong, and the estimate is nearly always wrong in the same direction.

What a fixed price per use case changes

A fixed price forces the scope to be small and concrete before work starts. That constraint is the feature. One use case, one number attached, one price. The vendor now makes money by shipping fast and well, not by staying long. And the budget conversation happens once, at the start, when you can still say no.

It also changes what gets built. When the engagement is one use case, the first thing shipped has to work on its own. There is no "phase two" to hide behind.

When hourly still makes sense

Genuinely open-ended research, where nobody can define the outcome yet. Staff augmentation, where you are buying capacity, not a result. Both are legitimate. Neither is what most companies need when they say "we want AI in our operation".

How we run it

A free call to scope one use case. A fixed price, agreed before you commit. First use case live in 2 to 4 weeks. For multi-part builds we come on as a tech partner on a fixed schedule. The model is simple because the incentive is the point: we only win when something ships. See it applied in our case studies, or book a free 30-minute call.