What does custom software cost? What actually drives the price
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Ask five providers for a quote on the same idea and you will get numbers that differ by a factor of five. That is not dishonesty — it is that nobody has defined what is being built.
This article explains what drives the price and how to buy so the budget cannot run away.
The six real cost drivers
- Number and age of systems to integrate. One modern API is easy; three legacy systems are not.
- How many exceptions the process has. The happy path is cheap; the twelve special cases are not.
- Data quality and volume at the start.
- How many roles and permission levels the system needs.
- Regulatory requirements — audit trails, retention, approvals.
- How precisely the process is described before the build starts.
Only the last one is fully in your control — and it is the one with the largest effect on the final invoice.
More on this: What does an AI employee cost — and what does a human one really cost?
Why an audit before a quote saves money
A quote written from a two-hour conversation is a guess, and guesses are padded. A quote written after a structured process audit is based on documented workflows, a listed set of integrations and a known set of exceptions.
That is why we quote the audit first as a fixed price, and everything after it on findings. The audit output — the process map, the automation inventory, the costed architecture — belongs to you whether or not we build anything.
More on this: Custom software or standard software? How to decide honestly
Pricing models, and what they cost you
We work with the third model: each stage scoped, quoted, approved, released to production. If a stage does not deliver, you stop after it rather than after two years.
| Model | What it means for you |
|---|---|
| Time and materials | Flexible, but the risk of scope creep sits with you. |
| Fixed price, whole project | Predictable, but heavily padded and rigid to change. |
| Fixed price per stage | Predictable per step, scope revisited between stages. |
| Monthly retainer | Fine for evolution, dangerous as a way to build the first system. |
The cost of building it cheaply
The lowest bid usually wins by leaving things out: tests, documentation, error handling, permissions, the exceptions. Everything works in the demo and falls apart in month four with real data.
The rebuild then costs more than the correct build would have, plus the months lost. This is the most common story we hear from companies coming to us with a system somebody else built.
What to ask before you sign
- What exactly is in this stage, and what is explicitly not?
- Who owns the source code, the data and the documentation?
- What happens if we want to work with someone else in a year?
- What does year three cost — hosting, support, changes?
- Can we see the system running in production, not just in a demo?
In short
- Integrations and edge cases drive cost far more than screens do.
- An undefined scope is the single biggest cause of overruns.
- Buy in stages: scope, quote, release, then decide on the next stage.
- Cheap builds are usually rebuilt within 18 months.
How could AI employees be used in your firm or your business?
Describe what you need in a few lines. You get a realistic budget range and scope back — no discovery call required first.
After 30 minutes you have
A clear yes or no
Whether your task is suited to an AI employee at all.
A real number
What it roughly costs — and what you realistically save.
The first step
Concrete and doable. Even if it happens without us.
AI expert for mid-sized companies
„I can help you move the repetitive work in your company over to AI employees.”
Tell us the task that eats the most time
You do not need to know the technology behind it. Just write, in your own words, what costs you the most time.
What happens next
- 1
We review your task
We check whether an AI employee is worth it for this at all.
- 2
We write back to you
Usually within one business day — short and without obligation.
- 3
30 minutes of clarity
What works, what does not, and what your first step would be.
What happens if you do not switch to AI
Your competitors are switching already.
The majority of companies plan to introduce AI in 2026.
That means up to 30% more margin.
Because AI employees take over the recurring tasks.
Costs drop significantly.
AI works around the clock, needs no holidays and no payroll overhead.
More money is left for marketing.
Saved costs flow into advertising — and bring in more customers.
Customers move to the competition.
More ad budget pulls customers away — and leaves less market for you.
Whoever does not adapt is pushed out of the market.
Over the next two to three years AI becomes the standard for mid-sized companies — not an option.
This is not scaremongering — it is already happening in the first industries. And most companies do not fail because they lack the will, but because they do not know how to walk this path. That is exactly what we show you — and implement for you if you want. We create clarity and we deliver.
Do not put your decision off until tomorrow
One conversation, 30 minutes, free. Afterwards you know which task in your company suits an AI employee — and what the first step is.
No obligation. No lock-in contracts, no sales pressure. Prefer to write? Go to the form
