Our Thinking

In a preliminary review of four legacy modernisations, Paradym Switch delivered the same scope for roughly 70 percent less cost and in roughly 70 percent less time than a commercial estimate for the equivalent work using traditional, non-AI methods. The sample is small and the findings early, but the effect is consistent across every project.

AI has transformed how fast software gets written, not how fast it gets shipped. For executives weighing a legacy modernisation, understanding this dynamic is key. The technology that accelerates code generation does not, on its own, accelerate the delivery of working systems. The decisive work stays human, and it sits on either side of the code.

Paradym Switch was engaged to replace an ageing, business-critical platform: a Java 8 and Spring Boot monolith with a dated frontend, carrying years of accumulated business logic the organisation could not afford to lose. The brief was to rebuild it on a modern, serverless architecture while the existing system kept running. This is how we structured the work, and why.

In an outsourced software modernisation project, your engineering team is your most valuable asset. And your biggest risk. The incumbent team holds critical tacit knowledge that the source code does not contain. They are also the group most easily destabilised when modernisation work is handed to an outside provider. Leaders who succeed at modernisation plan around this duality from day one.