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For a long time, the answer was simple: buy a SaaS solution.
Building custom systems took 12–24 months, required teams of 5–10 developers, and carried significant risk. SaaS offered fast implementation, predictable costs, and continuous updates.
But something has changed.
For a long time the answer was simple: buy a SaaS solution.
With AI-enhanced development that has changed. Developers can now work faster and smarter than before.
Custom development used to take a long time:
Today it looks completely different.
With AI-enhanced development:
Owning your system – instead of renting it – is a real option again.
SaaS for standard functions. Custom for what is unique.
This reduces risk and keeps control where it matters most.
An organization with 200 users pays:
Nordrest example: Catering app for 5,000 employees. Build time: 1.5 months. Cost: 150k kr. ROI in under a year.
AI does not replace developers. AI makes them stronger.
Focus shifts from manual coding to:
Yes – with the right processes in place.
AI is a tool, not a security risk. Security, data protection, and compliance are handled the same way as always.
High security requirements work fully with AI-enhanced development.
Old question: Can we build it ourselves?
New question: Is it the right choice for us?
When development speed triples, the cost calculation changes completely.
Want to discuss how this looks for your organization? We can help with a structured analysis.
MVP: 6–10 weeks
Full production: 3–6 months
It depends on complexity, integrations, and security requirements. Traditionally the same project took 12–24 months.
It depends on the timeline.
Especially when you have many users, high licensing fees, or business-critical functionality.
With AI-enhanced development: 2–3 experienced developers.
Traditionally 5–10 people were needed for the same work.
Experience and right architecture matter more than headcount.
Yes. AI is a tool – not a security risk.
Same requirements apply:
With proper processes fully compatible with high security requirements.
SaaS works well when:
Examples: CRM, accounting systems, HR platforms.
Combine:
Minimizes risk. Keeps control where it matters.
Yes. From manual coding to:
AI accelerates the pace. Experience determines quality.
Not anymore.
Risk decreased when development got faster. More frequent iterations = less risk.
Today risk is more about requirement clarity than technology.
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