Custom software or standard software? How to decide honestly

Nick van der Falk — AI expert for mid-sized companies
· AI expert for mid-sized companies
7 min read · Updated August 2026
Two managers comparing software options on a whiteboard
Two managers comparing software options on a whiteboard
On this page
  1. 01Buy when...
  2. 02Build when...
  3. 03The hidden price of forcing a fit
  4. 04The answer is usually 'both'
  5. 05The ownership question

This decision is usually made emotionally — either "we are not a software company" or "nothing on the market fits us". Both can be wrong.

Here is the framework we use, including the cases where we advise against building.

01

Buy when...

  • The process is a commodity: accounting, payroll, email, storage.
  • Regulation defines the process anyway, so there is nothing to differentiate.
  • A market leader exists and 80% of the fit is genuinely there.
  • You need it working next month and can adapt your process to the product.

More on this: What does custom software cost? What actually drives the price

02

Build when...

  • Your process is the reason customers choose you.
  • You already pay several people to bridge gaps between products by hand.
  • No product covers the sequence, so your data is split across four systems.
  • You want AI agents operating on your data — which requires one coherent data model.

A practical signal: when the spreadsheet that "holds everything together" has become business-critical, you have already outgrown your standard software.

More on this: Why 14 AI tools change nothing — and one system changes everything

03

The hidden price of forcing a fit

Standard software is not expensive because of its licence. It becomes expensive through the workarounds: the export into Excel every Monday, the second system for the part it cannot do, the person whose actual job is copying data between the two.

Add those hours up for a year. That number, not the licence fee, is what a custom build has to beat.

04

The answer is usually 'both'

We almost never replace an accounting system, and rarely a functioning ERP. What we build is the operational layer the business actually runs on — quoting, jobs, documents, reporting — and connect it to the systems that stay.

That keeps the investment focused where it creates a difference and avoids a two-year replacement project nobody asked for.

05

The ownership question

With standard software you rent capability and accept the vendor's roadmap. With custom software you own the source code, the data model and the documentation, and the system changes when your business changes rather than when a vendor decides.

For a company whose operations are its edge, that difference compounds every year.

In short

  1. Standard software wins when your process is standard. That is more often than people think.
  2. Custom software wins when the process is your competitive advantage — or when nothing fits it.
  3. The real cost of standard software is the manual work around its gaps.
  4. The usual answer is a mix: keep the ERP, build the layer your business actually runs on.
01What you get

How could AI employees be used in your firm or your business?

Tell us what the software has to do. You get a straight recommendation with both cost paths — including when off-the-shelf is genuinely the better answer for you.

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.

02Who you will speak to
Nick van der Falk — AI expert for mid-sized companies

AI expert for mid-sized companies

„I can help you move the repetitive work in your company over to AI employees.”
03Your next step

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. 1

    We review your task

    We check whether an AI employee is worth it for this at all.

  2. 2

    We write back to you

    Usually within one business day — short and without obligation.

  3. 3

    30 minutes of clarity

    What works, what does not, and what your first step would be.

We reply personally, usually within one business day. No sales pressure, no newsletter. Your data goes to no one else.

04Why now

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.

05Act now

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.

Nick van der Falk
Nick van der FalkAI expert for mid-sized companies
Request your free 30-minute call

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Nick van der Falk — AI expert for mid-sized companies

Frequently asked

Is custom software not a maintenance risk?

It is if it is built badly or by someone who then disappears. Mitigate it the boring way: standard technologies, documentation, source code in your hands, and a support arrangement you can end without losing the system.

Will it work with our ERP?

That is normal practice. ERP, accounting, CRM, email and supplier interfaces are connected behind one data model so every part of the system reads the same truth.

How long does it take?

The first production module typically 8 to 16 weeks, depending on integration depth. It is delivered in stages, each quoted and released separately.

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