Governments are moving beyond AI experimentation towards a new model of public service -one where intelligent agents can retrieve information, make recommendations, execute workflows and coordinate actions across systems.

But there is a fundamental question beneath this ambition: can government trust the information on which these agents act?

Across the public sector, critical records, institutional knowledge and sensitive data remain distributed across legacy systems, departmental repositories and disconnected workflows. As AI becomes more capable of acting on behalf of public servants, fragmented and poorly governed information is no longer simply an efficiency challenge - it becomes a question of security, accountability and public trust.

This session will explore how governments can move from silent silos to trusted, AI-ready information architecture and foundations - enabling AI agents to make better-informed decisions, act within defined boundaries and exchange information securely across organisational lines.

Through perspectives and real-world case studies from public-sector technology, data, security and transformation leaders, the discussion will explore what it takes to build an agentic state that is intelligent, governed and trusted by design.