Our success is rooted in five core principles that guide every interaction and delivery phase:  1. Listen to the users We engage users at all stages of the development lifecycle. This ensures we understand their needs and motivations so we can develop services they want to use. 2. Design a coherent and holistic solution We focus on understanding strategic objectives. We then use design thinking to iterate towards a complete solution that solves a whole problem. 3. Build balan

What happens when you condense the software development lifecycle (SDLC) into just 7 days? Following a fast-paced introduction to digital consultancy, Rachel and Kieran discuss the reality of building their first apps while navigating a landscape full of unknowns. From the unexpected twists of user research to using AI as a mentor, they share how they played to their strengths and drew inspiration from one another to broaden their design perspectives.

Quantum computing is seen as a game changer in technology - but it’s not just a scientific breakthrough. It has the potential to reshape power structures, amplify inequality, and further solidify monopolies in our global politics.

In today's digital landscape, where security breaches can cost organisations millions and erode customer trust, building high-performing DevSecOps teams isn't just an operational choice - it's a strategic imperative.

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.

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.