First, data sharing. Solving complex public sector challenges with AI depends on information flowing safely across organizational boundaries. In practice, this means making it easier for departments and agencies to reuse data that already exists. While most public sector organizations have initiatives underway, only 35 percent have rolled out or fully deployed data-sharing methods.
Second, data control and sovereignty. Concerns about compliance and control are a daily reality for public sector leaders, and they are slowing AI adoption. More than half of public sector organizations are concerned about AI sovereignty, which is becoming central to safeguarding digital resilience. Compliance with data-localization laws and control over sensitive information become more complex when AI services are hosted in foreign jurisdictions. A 2024 European Commission report found that 80 percent of Europe’s digital technologies and infrastructure are imported.
Third, a data-driven culture. This is a critical pillar of AI readiness. Setting clear targets, aligning strategy with operational reality, and encouraging collaboration and shared behaviors across teams helps embed data use into everyday work rather than treating it as an added burden.
Fourth, data infrastructure. Robust, cloud-based data infrastructure is essential for storing, processing and analyzing data at scale, while respecting sovereignty requirements. Today, the lack of such infrastructure is the primary obstacle to effective data use. Only 41 percent of public sector executives say they can access data at the speed required for decision-making. Budget constraints are a real barrier, but they need not be paralyzing. By focusing on gradual, outcome-driven improvements rather than costly overhauls, organizations can demonstrate value and realize business outcomes.
Public sector organizations such as the City of Tampere illustrate this four-pillar approach. By building data foundations gradually and strategically, while addressing data sharing, sovereignty, culture and infrastructure together, Tampere has shown how thoughtful investment can deliver tangible results without losing sight of long-term ambition.
Achieving digital maturity
AI can transform the public sector, but only if data readiness becomes the true measure of digital maturity.
With sustained focus on governance, interoperability, culture, and infrastructure, governments can start to turn ambition into impact and deliver smarter, more trusted public services for every citizen.