AI in GovTech: what works, what fails, and why

The key isn’t more AI, it’s the right AI built around real public sector needs.

Over 70% of public sector AI initiatives fail to move beyond the pilot stage. Not because the technology isn’t ready, but because AI isn’t embedded into government operations in a way that aligns with long-term public priorities.

Making AI work for government

AI has the potential to make government more responsive, efficient, and effective—but only when designed for real-world public sector needs. The challenge is that governments often lack a clear process for matching AI’s capabilities to sector needs, ensuring long-term adoption, and embedding AI within digital infrastructure that supports growth.

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Success of AI in government relies on three pillars

1. Sector-driven AI – AI should support, not disrupt, public services. Align AI with real sector needs, build on successful examples, and tap into government expertise.

2. AI-augmented services – Effective AI fits within policy and operations. Prioritize high-impact use cases to boost efficiency and improve decision-making.

3. AI-ready infrastructure – Scalable AI requires strong digital foundations. Secure data, interoperability, and clear governance are essential for turning pilots into lasting solutions.

Evaluating AI projects

Our analysis of 4,372 AI use cases reveals recurring pitfalls that hinder AI from moving beyond PoCs. To address these challenges, public sector leaders must move beyond unrealistic expectations, carefully evaluate opportunities, and take strategic steps to achieve meaningful AI adoption.

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Breaking the PoC barrier

To move from proof of concept to full-scale implementation, governments need dedicated ownership, strategic funding, and clear success metrics. Our analysis offers practical strategies to navigate these challenges and achieve lasting impact.

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In a crowded AI market, the challenge isn’t finding more tools—it’s identifying the right solutions tailored to the unique needs of the public sector. Explore how to effectively integrate AI to address real government priorities and deliver tangible outcomes.

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Our experience

Our experience with forward-thinking governments around the globe.

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AI in GovTech: what works, what fails, and why

Success of AI in government relies on three pillars

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