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Every company using software to digitize its processes eventually faces the same question. Do we buy an existing solution, or do we build something custom?
The question isn't new. But the answer has shifted. AI has pushed the development cost and timeline of custom software down so far that business cases that weren't viable five years ago now are.
Off-the-shelf software is quickly available, requires no large upfront investment, and maintenance is included. Makes sense for many companies. But there's a flip side: you're working within the constraints of an application designed for everyone. Not for you.
If you're using the same software as your competitors for a process that's crucial to your business, you're not differentiating by definition. Add vendor lock-in on top: you have no say in the roadmap.
The classic objection to custom software was always: too expensive, too slow, too complex. That no longer holds. AI-driven development has significantly reduced costs and increased speed. Projects that used to take months are now delivered in weeks.
And the upside: you're building capital that's fully yours. No ongoing licenses. Full control over your data, your UX, and your future development.
In practice, the most successful companies choose a mix. Buy what's generic (CRM, invoicing, authentication), build what makes you unique. That way you avoid double costs, go live faster, and keep control over your core processes.
