The emergence of generative AI, alongside advanced autonomous and agentic systems, is transforming how government and the public sector innovate and operate. Our findings reveal an actionable blueprint for governments and organizations aiming to leverage AI's potential to drive efficiency, reduce time-to-market and improve patient outcomes. This report provides insights into how they can take a value-based approach to AI that helps to accelerate innovation, unlock new growth opportunities, and maximize the impact of their AI investments.
Exploring how governments can deliver value to citizens with AI
Intelligent government
A blueprint for creating citizen-centric value through AI-driven transformation
At-a-glance insights:
Government is in the early stages of AI but belief in the transformative potential of AI is high
Operating models are proving to be a major inhibitor to widescale adoption, with systems and data management reflecting a siloed structure
Strategic barriers are holding the Government sector back, with internal resistance and privacy risks the leading challenges when integrating AI
How to realize value from your AI transformation journey
To address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide technology companies through the AI adoption journey. This phased approach can unlock significant value through AI-driven transformation, driving smarter and more innovative governments. Click on each of the phases below to find out more.
- Enable
- Embed
- Evolve
The Enable phase focuses on enabling people and building AI foundations. Organizations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customization.
The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernization, while enterprise-wide data enhances operations.
The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasizing ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.
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