This Working Group explores how artificial intelligence, advanced analytics, and data infrastructure can transform the design and delivery of public services. Its focus is on how AI can improve productivity, efficiency, responsiveness, and long-term public value across government and the wider public sector.

The Group is examining how emerging technologies — including large language models, automation, predictive analytics, and interoperable data systems — could modernise public administration and support more joined-up, citizen-centred services. This includes exploring the potential for sovereign AI capabilities, cross-departmental data platforms, and shared digital infrastructure that reduce duplication, improve coordination, and enable more effective decision-making across government.

A central theme of the Group’s work is how AI can help public services operate more efficiently by streamlining routine processes, improving resource allocation, reducing administrative burden, and enabling public sector staff to focus on higher-value frontline activity. The Group is also considering the practical requirements for adoption, including infrastructure, procurement, integration with legacy systems, digital capability, workforce transformation, and organisational change.

Alongside operational efficiency, the Group is exploring how AI can improve outcomes and service quality through advanced analytics, predictive modelling, and data-driven insight. This includes opportunities to enhance personalisation, anticipate demand, strengthen policy development, and create more proactive and responsive public services.

The Working Group also recognises that public trust will be critical to successful AI adoption. Its discussions therefore include the governance, ethical, and security implications of deploying AI in public services, with a focus on transparency, accountability, accessibility, privacy protection, human oversight, and the mitigation of algorithmic bias.