Transformation

From Legacy to Leading: how Government can escape the Technology Trap

Written by James | Feb 13, 2025 11:10:13 AM

For decades, government agencies have struggled with outdated IT systems, manual processes, and complex data silos. The result? Slow service delivery, high costs, and frustrated citizens. But now, a new wave of transformation is emerging - one that blends low code development, AI-driven automation, and agile methodologies to accelerate modernisation.

At our recent panel discussion with senior leaders from Crown Prosecution Service (CPS), Office of Gas and Electricity Markets, HM Revenues and Customs, and OutSystems, we explored the real challenges of legacy system transformation and how government departments can take practical steps to modernise without disrupting mission-critical services.

Key topics we covered:

  • Why legacy IT is more than just a technology problem - the cultural, process, and organisational challenges behind slow transformation.
  • How low code and AI are reducing time to value - insights from CPS and OFGEM on using these tools to modernise without massive costs.
  • The importance of cross-department collaboration - HMRC’s lessons on how government IT and business teams must work as one.

Insight from the Government panel: CPS’s approach to Low Code adoption

Elizabeth Thomason from the Crown Prosecution Service (CPS) shared how they transformed from having no internal development capability to building a scalable, agile low code strategy.

"Seven years ago, we outsourced everything - there was no internal development capability at all. But by starting small and demonstrating value early, we built momentum. Today, low code allows us to move faster, meet accessibility standards seamlessly, and empower our teams to drive efficiencies across the criminal justice system."

CPS's journey is a blueprint for other government departments looking to move away from vendor lock-in and take control of their digital future.

Register here to watch the full discussion on demand.