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Short reflections on digital transformation, enterprise architecture and project management.
Before replacing a system that has been running for 15 or 20 years, it is worth understanding what it solved. This reflection explores the risk of undervaluing legacy, the importance of listening to those who maintained it, and the tension between respecting what exists and knowing when to cut.
Introducing AI to speed up public procurement may make the problem more visible, but it does not solve it. The biggest friction lies in what gets contracted, how success is defined, and how delivered value is measured.
AI makes “build” a practical option in the public sector by reducing friction and dependency, while demanding stronger architecture, governance, and technical accountability.
Digitising public processes without simplifying them only computerises old problems. The real challenge is keeping a simple path for most users while giving dignified routes to exceptions, without killing the MVP or betraying universality.