Custom Software Development
Building software specific to your business, with the discipline of buying instead wherever something off the shelf would genuinely do.
Überblick
Custom software is right when the process it supports is genuinely specific to you, and wrong surprisingly often. The usual sequence is that a package is evaluated, found to cover most of the requirement, rejected over the remainder, and replaced with a build that costs many times more and needs maintaining forever.
When it is the right call, the risks are well known: scope that grows, integrations that are harder than described, and knowledge concentrated in whoever wrote it. Those are manageable, and managing them explicitly is most of what separates a successful build from a cautionary one.
Für wen das gedacht ist
- Companies whose core process no package supports
- Businesses running on a legacy system nobody can safely change
- Teams whose spreadsheet-based process has become a risk
Unser Vorgehen bei Custom Software Development
Die konkreten Arbeitspakete eines typischen Projekts. Der Umfang steht vorab fest, nichts davon taucht später als Überraschung auf der Rechnung auf.
Build versus buy assessment
An honest look at whether something existing would do, including the cost of adapting your process to fit it.
Requirements from observation
Watching the work rather than collecting a requirements document. The undocumented exceptions are usually the real specification.
Architecture
Built for the change you can foresee, without over-engineering for change you cannot.
Integration
Connecting to the systems around it, including legacy ones with no modern interface where the work is genuinely awkward.
Testing and documentation
Automated tests and written decisions, so the software can be maintained by people who were not there when it was written.
Migration and cutover
Moving from the existing system with a parallel run where the risk justifies it, and a rollback that has been tested.
Vom ersten Gespräch zum gemessenen Ergebnis
Immer dieselbe Reihenfolge, damit Sie wissen, was als Nächstes kommt.
Assess
Understand the process and test whether a package would serve. Sometimes the engagement ends here, correctly.
Design
Architecture, data model and integration approach, with the risky assumptions identified and tested first.
Build incrementally
Working software in usable slices, so value arrives before the end and direction can change cheaply.
Transition
Migration, parallel running where warranted, then documentation and handover to whoever will own it.
Ergebnisse statt Aktenordner
Ein Stapel Dokumente ist kein Fortschritt. Das hier sind die Veränderungen, die die Arbeit bewirken soll.
Software that fits the work
No process contortions to suit a package that was designed for someone else's business.
Sometimes a cheaper answer
The build-versus-buy assessment regularly concludes against building, which is the most valuable outcome it can produce.
A safe transition
Parallel running and tested rollback mean cutover is a planned event rather than a gamble.
Maintainable by others
Tests, documentation and recorded decisions mean you are not dependent on the original developers.
Häufige Fragen zu Custom Software Development
Was Kundinnen und Kunden fragen, bevor sie sich melden. Fehlt Ihre Frage, stellen Sie sie uns direkt.
How do we decide between building and buying?
If a package covers most of the requirement and the gap is not a competitive advantage, buy it and adapt the process. Build when the process is genuinely distinctive, when integration with a package would approach the cost of building, or when no package handles your scale or regulatory position.
How do we stop scope growing?
By shipping usable slices early so people react to real software instead of imagining it, and by having a written decision record for what was deliberately excluded. Most scope growth is a rediscovery of something that was in scope all along and never written down.
What happens if you stop being available?
That is what the tests, documentation and decision records are for. We build so another team could pick it up, and we would rather be retained because the work is good than because nobody else can read the code.
Can you replace a legacy system?
Usually, and rarely all at once. Strangling it gradually — moving one capability at a time behind a stable interface — is slower on paper and much safer than a single cutover. Big-bang replacements of systems nobody fully understands go wrong reliably.
Custom Software Development im Kopf?
Sagen Sie uns, was sich ändern soll. Passen wir nicht, sagen wir das und nennen Ihnen eine bessere Adresse.
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