To make public services more efficient and responsive to citizen needs, governments are investing in scalable digital public infrastructure, embedding emergent technologies — such as automation, AI and modular code in public services — and expanding innovative and digital skills.
Officials in Portugal took this approach with child benefits, which are the second biggest social benefit behind retirement pensions. The process of delivering benefits had been traditionally paper-based, confusing and very bureaucratic. To make this public service more efficient, the government automated the delivery of social benefits for newborns. Under this new system, child benefits are now automatically transferred to the families at birth registration. Already covering 22,500 families, this streamlined process reduced waiting time from 30 days to merely two and has the potential to impact over one million families. This innovation is increasing service delivery by eliminating barriers to access and ensuring the inclusion of every newborn in the system.
Governments are moving away from simply digitalising often burdensome and complex administrative processes. They are now investing in scalable digital infrastructure, including through the adoption of automation and AI, to build technological systems that can evolve over time, adapt to changing demand and support future innovations. This not only makes public services more efficient but can also make them more secure, accessible and reliable. Meanwhile, governments are investing in innovation skills to prepare public servants to lead digital transformation processes and to deal with uncertainty and complexity (OECD, 2024[19]).
In recent decades, government efforts towards digital transformation have resulted in a fragmented digital landscape. This is characterised by a multitude of often isolated or disconnected digital systems offering single-event, highly transactional and poorly-interoperable services. Outdated systems (legacy systems, zombie technologies, i.e. unsupported or not up-to-date anymore. etc.) have slowed the response of public services, maintained dependencies on specific technology providers and exacerbated cyber vulnerabilities. For example, research in Europe found that legacy systems present significant challenges to the digital transformation of public administration systems (Irani et al., 2023[28]).
Governments are now investing to upgrade outdated systems and build better digital public infrastructure (e.g. digital ID systems, payment systems, data sharing platforms). This will help provide people with seamless and secure access to digital services, improve scalability and optimal resource allocation through standardised and reusable tools (OECD, 2024[29]). These initiatives enable faster processes, with less “noisy” public service delivery (Kahneman, Sibony and Sunstein, 2021[30]), cutting the bureaucratic burden and allowing public officials to focus more on activities that have more value (e.g. those that require their personal intervention). For example, in Austria, the city of Vienna’s BRISE-Vienna, has transformed its digital building permit application process with AI and Augmented Reality (AR), not only making it more transparent but also cutting the wait time in half. In Indonesia, the Sehat IndonesiaKu (ASIK) application for healthcare workers, launched in 2022 digitised the data recording process, making recordkeeping more efficient, reducing errors, minimising repetitive tasks and enabling the real-time monitoring of health programmes. Finally, in South Korea, AI and automation are being used to address phishing crimes, greatly improving the efficiency of public services (see Box 3.1).