How much does custom AI development cost? (a straight answer)
What custom AI actually costs, why hourly billing hides the real number, and how fixed-price-per-phase scoping works. A plain framework to estimate your build before you talk to anyone.
3 min readStallwart
The short answer
There is no single price because custom AI is scoped to the problem, not sold from a rate card. What there is: a fixed price per phase, quoted after a short paid discovery that turns your problem into a defined build. You approve the number before any build work starts, so the budget is known, not discovered in an invoice.
Stallwart prices this way on purpose. Hourly billing pays for time and hides risk in the total; fixed price per phase puts the risk on us to scope well, which is where it belongs.
What actually drives the cost
Four things move the number more than anything else. Understand them and you can estimate the shape of your own build before you talk to anyone.
- Scope: one clear workflow costs far less than a platform
- Data: clean and available is cheap; scattered or missing adds a preparation phase
- Integrations: each external system the AI must read or write is real work
- Reliability bar: a tool a human checks is cheaper than a system that runs unattended
Why hourly billing hides the real number
An hourly quote looks flexible and is the opposite. It transfers all scope risk to you: if the estimate was optimistic, you pay for the correction. It also rewards slowness. A fixed price per phase forces the hard scoping conversation up front, where it is cheap, instead of mid-build, where it is not.
The trade is real and worth naming: fixed price requires a defined scope, so genuinely open-ended research does not fit it. That is what the paid discovery phase is for, to convert an open problem into a defined one that can be quoted.
How to estimate before you call anyone
Write one sentence describing the outcome, list the systems the AI must touch, and note whether the data already exists and whether a human will check the output or not. Those four answers place your build on the spectrum from a small automation to a full production system, which is most of the estimate.
The cheapest possible outcome is that off-the-shelf software already solves it. A firm worth hiring will tell you that and decline the work, rather than sell you a custom build you did not need.
The short version
- Custom AI is scoped, not priced from a rate card. Expect a fixed price per phase, quoted after discovery.
- Cost drivers: scope, data readiness, number of integrations, and the reliability bar.
- Hourly billing transfers scope risk to you and rewards slowness; fixed price does the opposite.
- Estimate yourself: outcome sentence, systems touched, data readiness, human-checked or unattended.
Questions this raises
- How much does custom AI development cost?
- It is scoped to the problem rather than sold from a rate card. Stallwart quotes a fixed price per phase after a short paid discovery that defines the build, and you approve the number before build work starts. Cost is driven mainly by scope, data readiness, integrations, and whether the system runs unattended.
- Why do AI companies not publish prices?
- Because two projects that sound alike can differ ten times in real work depending on data, integrations, and the reliability bar. A public rate card would be wrong in both directions. A short paid discovery produces an accurate fixed price instead of a misleading average.
- Is fixed-price or hourly better for an AI project?
- Fixed price per phase is better for the buyer: it puts scope risk on the builder and makes the budget known up front. Hourly billing transfers that risk to you and rewards slowness. The one thing fixed price needs is a defined scope, which is what a paid discovery phase produces.
Recognize this in your own operation?
Bring us the version of it happening in your business and we will tell you which part a system can take over.