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Accelerating AI Delivery in Government

Event artwork for Accelerating AI Delivery in Government

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Klarus
About this event

What to expect

This closed-door roundtable in London brings together senior government leaders to tackle one of the most critical challenges facing public sector digital transformation: how to accelerate AI adoption while maintaining the trust, accountability and governance frameworks essential to public service delivery.

Organised by UKAI in partnership with Klarus, this invite-only session creates a confidential forum for candid discussion under Chatham House Rules. The focus is squarely on moving beyond pilots and proofs of concept to deployment at scale — delivering measurable outcomes while ensuring AI systems remain safe, ethical and reliable.

Who Should Attend

This roundtable is designed for senior leaders across UK government responsible for AI policy, digital transformation and service delivery. Attendance is strictly by invitation to ensure a balanced, high-value discussion among participants at comparable seniority levels. While expressions of interest may be submitted, all registrations are subject to review and confirmation at UKAI's discretion.

Key Discussion Themes

Participants will explore practical approaches to accelerating AI delivery, including:

  • Requirements for scaling AI adoption across public services beyond experimental phases
  • Governance frameworks that enable rather than constrain delivery
  • Implementing minimum viable guardrails that balance speed with safety
  • Learning from international and cross-sector deployment examples
  • Balancing responsibilities between central leadership and individual departments
  • Building confidence among ministers, boards and the public in AI-driven services

What Makes This Different

Unlike traditional conferences, this roundtable prioritises peer learning and frank exchange over presentations. The Chatham House Rules format allows participants to share practical experience, discuss challenges openly and compare approaches without attribution — creating space for the kind of honest conversation rarely possible in more public forums.

The session addresses the critical tension many government organisations face: the pressure to deliver AI-driven innovation quickly while maintaining the rigorous standards of accountability expected in the public sector. Rather than treating governance as a brake on progress, discussions will explore how appropriate oversight can actually accelerate delivery by building institutional confidence and publ

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