Trust has become the defining measure of success for digital government, but it cannot be designed in, it must be earned through outcomes, transparency, and data integrity. As AI-enabled services and digital identity programmes expand, central government faces growing scrutiny over how citizen data is used, shared, and protected while delivering results that lead to meaningful improvements in citizens’ lives. At the heart of this is data: its quality, its governance, and how confidently it can be used to drive fair, inclusive, and accountable decisions. This discussion will explore how departments can better align service design, data strategy, and delivery to create services that citizens not only use, but trust.

• How is poor data quality undermining citizen experience and confidence? Do citizens understand and trust how their data is used?
• Are digital-enabled transformation efforts delivering measurable improvements in outcomes, particularly for underserved groups?
• How can government use data to drive efficiency while maintaining accessibility, transparency, and public trust?