Both paths have their place
Standard tools are quickly available, continuously developed, and often perfectly sufficient for general tasks – text drafts, translations, or simple assistant functions, for example. Custom solutions play to their strength when the process, the data, or the system landscape is specific to your business.
So the right question isn't “standard or custom?” but rather: how much of our actual problem does the standard tool really solve?
When a standard tool is enough
- The task is generic and not particularly company-specific.
- It doesn't require access to internal systems and data.
- The process can adapt to the tool without losing quality.
- Individual employees use the tool as personal support.
When a custom solution pays off
- The process is company-specific and spans multiple systems.
- Internal data sources have to be connected – with roles and permissions.
- Data protection or compliance requirements rule out generic cloud tools.
- The tool would need to be bent so far out of shape that the process ends up serving the software.
- The solution should grow with the company and remain extensible.
Doing the cost math honestly
Standard tools look cheap, but they cost per user per month – permanently, and often for features nobody needs. Custom solutions cost more upfront, but afterwards they belong to the company and fit the process exactly. What matters is the total over two or three years: license costs and workarounds on one side, development and operating costs on the other.
A middle path often makes sense too: a standard model as the foundation, extended with a custom integration into your own processes and data.