Digital transformation
Alternative labels
Digitisation
Guide
The GovTech compass: ten principles for the responsible implementation of GovTech and digital public infrastructure
Digital transformation offers governments a powerful pathway to improve public service delivery and strengthen state capability. Yet without clear guardrails, these efforts can deepen exclusion, weaken accountability and produce systems that fail to reflect the lived realities of citizens. This guide offers a principles-based framework for more responsible and effective digital transformation.
Report
Making agentic AI work for government: a readiness framework
Agentic artificial intelligence (AI) is driving a fundamental shift in capability, allowing systems to autonomously execute end-to-end, multi-step workflows. This report applies a novel, department agnostic perspective on government activities. It provides a clear approach to assess where agentic AI can deliver the greatest public value and what risks must be managed before deployment at...
Report
Acceleration is not a strategy: a framework for directing AI towards public value before it's too late
The politics of artificial intelligence (AI) is set to drastically change in 2026 as recent technical breakthroughs are implemented across the economy. This report draws reflections from work on AI policy and highlights next steps, with recommendations for governments seeking to demonstrate that they are intervening ambitiously in their citizens’ interests.
Book
Responsible AI in practice
Artificial intelligence (AI) is rapidly being embedded across companies’ products, services and internal operations, yet governance and disclosure are not evolving at the same speed. This report looks at corporate practice in the context of the emerging responsible AI regulatory landscape. It finds that public commitment from companies to AI governance frameworks remains low.
Report
Organizational transformation in the age of AI: how organizations maximize AI’s potential
This white paper examines how leading organisations are embedding artificial intelligence (AI) across customer experience, operations, R&D, strategic planning and talent. Drawing on insights from more than 450 executives worldwide, it highlights a shift from isolated use cases to connected systems, from episodic initiatives to continuous processes and from task automation to human value creation.