On the UK's Renters Reform programme, we scoped 170+ features using Agile T-shirt sizing. In collaborative workshops, teams from tech, design, and policy aligned on effort (S, M, L, XL). This built a shared understanding of complexity, surfaced hidden risks, and enabled realistic MVP planning and delivery forecasting across the entire project.

This series is aimed to help you take a step back and ground yourself on the core principles that every data team must understand. We will focus on the data engineering process, which is the art of preparing the most valuable ingredient your company has at its disposal: your data.

In this final article, we turn our attention to the technological foundations that underpin modern government services and consider how these foundations must evolve to meet emerging opportunities and challenges.

In this third post of the series, building on our introduction to AI in public service delivery and our exploration of how AI can directly support teams, we now shift focus to delivery. We explore how AI can support service teams in structuring their work, iterating effectively, and safeguarding services.

In this second post in the series, we begin to explore how artificial intelligence can directly support teams in meeting the UK Government Service Standard. By aligning the capabilities of current AI tools, and those on the horizon, with the needs of service teams, we can start to see a clear path where AI acts as a multiplier for quality, consistency, and speed.

Drawing on lessons from the recent Cabinet Office Github Copilot trial, Cameron shares practical advice on how to use AI assistants as a powerful tool for learning and delivery, while ensuring you remain the pilot.