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

2025

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AI-generated summary

1) This report provides a critical analysis of AI in GovTech, highlighting successful strategies and common pitfalls to ensure effective implementation and maximize public sector value.
2) * Explores the three essential elements for making AI work in government: sector-driven capability building, AI-augmented public services, and AI-ready digital public infrastructure.
* Identifies recurring pitfalls that hinder AI projects from scaling beyond proof-of-concept, such as misaligned expectations, lack of clear leadership, budget constraints, and data challenges.
* Offers key questions for public sector organizations to ask when evaluating AI proposals, focusing on ROI, budget, skills, implementation ease, data, and citizen adoption.
3) AI, GovTech, Public Sector, Digital Transformation, AI Strategy

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