Digital Maturity: A New Strategic Imperative for Governments and Cities

Introduction — When Digital Immaturity Becomes a Strategic Liability

The real risk for public administrations is no longer simply falling behind in digital transformation. It is continuing to treat digital transformation as a modernization program when it increasingly determines a government’s ability to govern effectively, protect its interests, and meet citizens’ expectations.

As data, digital infrastructure, and artificial intelligence become sources of competitiveness and strategic power, the digital maturity of nations and cities matters more than ever. Governments that can integrate services, make effective use of data, and continuously improve the way they operate are better positioned to deliver public value, strengthen trust, and create conditions that support innovation and investment. Those that fall behind risk accumulating technological dependencies, losing agility, and gradually weakening their ability to act.

Economic history offers a useful parallel: electricity, railways, and new production methods did more than modernize organizations: they transformed economies and reshaped the conditions for growth. Digital technologies and AI may play a similarly structural role today. But their potential cannot be realized simply by adopting new tools.

That is what digital maturity is about: an institution’s ability to integrate, govern, and evolve its technologies, data, processes, and skills to deliver lasting public value.

The distinction matters. An administration can deploy numerous digital tools and still lack integration, resilience, or the ability to make meaningful use of its data. Digital maturity should therefore not be measured by the number of platforms launched, but by how effectively they work together to improve public outcomes.

Moving beyond digital transformation means moving from a succession of technology projects to an institution capable of learning, adapting, and innovating continuously.

1. Understanding Digital Maturity in the Public Sector

Digital maturity is not a particular technology or a measure of how many administrative procedures have been moved online. It is the ability to align technology, data, people, processes, and governance around a coherent strategy.

In the public sector, this ambition has three complementary dimensions.

• eGovernment — Digital Public Services: Making administrative procedures and public services available online while improving their simplicity, efficiency, and accessibility. The goal is not merely to reproduce existing processes on a screen, but to make it genuinely easier for people to interact with government.
• Smart Government — Intelligent Public Administration: Going beyond online services to transform how government operates. This means breaking down organizational silos, integrating data and systems, improving coordination across departments, and strengthening evidence-based decision-making.
• Smart Cities and Intelligent Territories: Using connected technologies and data to improve infrastructure, mobility, energy use, environmental management, and urban services, with the aim of improving quality of life and territorial performance.

These dimensions are connected, but they are not interchangeable. An administration may offer a wide range of online services while its internal departments remain disconnected. A city may deploy sensors and intelligent systems without having the capabilities needed to incorporate the resulting data into its decisions.

The number of digital initiatives is therefore no guarantee of value. Their impact depends on coherence, interoperability, and integration into the way public institutions actually work.

Digital maturity is about closing these gaps by connecting individual initiatives to an overarching strategy and measurable outcomes for citizens and communities.

2. Why Is Digital Maturity So Difficult to Achieve?

Digital maturity requires change well beyond the IT department. Yet public administrations operate in a complex environment characterized by limited resources, shared responsibilities, and competing priorities.

Digital investment must compete with essential needs in healthcare, education, mobility, and security. Political cycles can make long-term projects difficult to sustain, while legacy systems, organizational silos, and fragmented responsibilities impede integration.

Governments must also serve people with widely differing needs. Digital services may simplify access for some while creating barriers for those with limited connectivity or digital skills. Successful transformation must therefore improve access without creating new forms of exclusion.

Meanwhile, increasingly interconnected systems create greater exposure to cyberattacks, service disruptions, privacy breaches, and dependence on external technology providers.

These are not merely technical obstacles. They reflect deeper challenges involving governance, institutional culture, workforce capabilities, and the ability to manage change.

Digital maturity cannot be achieved by accumulating projects. It requires public institutions to rethink how they set priorities, share information, make decisions, and remain accountable for results.

3. The Foundations of Sustainable Digital Maturity

Digital initiatives create lasting value only when they rest on a set of interdependent foundations. No single capability is sufficient on its own; what matters is how effectively they work together.

A Strategy Driven by Public Value

An effective digital strategy starts with the outcomes government needs to achieve, not the technologies it wants to acquire. Simplifying procedures, reducing waiting times, improving access to services, strengthening decisions, or managing resources more effectively: every initiative should address a clearly identified need.

This approach helps administrations prioritize investment, avoid a proliferation of disconnected projects, and link digital delivery to broader public objectives.

The central question is not whether a technology is innovative, but whether it genuinely improves the institution’s ability to fulfill its mission.

Reliable Data and Interoperable Systems

Digitization does not automatically create integration. When systems cannot communicate, data is inconsistent, or responsibilities are unclear, administrative silos persist behind digital interfaces.

Clear data governance, shared standards, and interoperable systems help public bodies coordinate their work, reduce duplication, and simplify citizens’ interactions with government. They can also reduce the need for people to provide the same information repeatedly and support necessary data sharing between public institutions.

These foundations are equally important for advanced analytics and AI. Sophisticated tools cannot sustainably compensate for poor-quality data or fragmented architecture.

Cybersecurity, Resilience, and Trust

As public services become more interconnected, the consequences of an incident can grow significantly. Cybersecurity must therefore be built into systems from the outset, rather than added after deployment.

Cybersecurity protects data and infrastructure against threats. Resilience goes further: it is the ability to maintain essential functions or restore services quickly when an incident occurs. For government, this is fundamental. A digital outage can directly disrupt services on which citizens depend.

Trust also requires transparency, privacy protection, and meaningful ways for people to understand or challenge decisions that affect them.

A digitally mature public service must also distinguish digitization from inclusion. Digital journeys should be accessible, and appropriate human assistance or alternative channels should remain available for people who need them.

Digital Sovereignty and Strategic Autonomy

Digital sovereignty has become inseparable from a government’s ability to retain control over its strategic choices. It concerns data, critical infrastructure, and the conditions under which essential technologies are operated.

Cloud services, software platforms, and externally supplied AI models can accelerate innovation and improve efficiency. But they also raise consequential questions: Where is data processed? Who can access it? Which jurisdictions apply? Can government change providers, migrate its data, or maintain services if circumstances change?

Cybersecurity and digital sovereignty are complementary, but distinct. Cybersecurity protects systems and data against threats. Sovereignty concerns the ability to make informed technology choices, preserve alternatives, and limit dependencies that could constrain strategic decision-making.

A system can be securely operated while creating excessive dependence on a single provider. Conversely, attempting to control every technology internally is neither always feasible nor necessarily desirable.

The practical objective is to assess dependencies, understand contractual and operational risks, preserve data portability, and maintain credible alternatives where the stakes justify doing so.

Leadership, Skills, and Responsible Governance

Digital maturity also depends on an organization’s ability to change how it works. Leaders must sustain a clear long-term vision, while public servants need the skills and support required to use technology effectively.

This responsibility extends well beyond IT teams. It involves operational leaders, policymakers, procurement professionals, legal advisers, security specialists, and the employees who interact directly with citizens.

It also requires a culture of collaboration and continuous improvement, in which feedback and experience inform the evolution of services and working practices.

These requirements become particularly important with AI. Institutions must define acceptable uses, assess risks, train users, and establish clear lines of accountability. Innovation must not dilute public responsibility: decisions affecting individual rights or access to services require appropriate safeguards and meaningful human oversight.

4. Digital Maturity Is a Journey, Not a Ranking

Digital maturity develops over time. Governments may begin by putting procedures online, then work to coordinate services, integrate data, and improve operations. As their capabilities grow, they can move toward more anticipatory services and fundamentally rethink how they engage with citizens.

This evolution is neither automatic nor uniform. An institution may have excellent capabilities in one area while facing significant weaknesses in another. Online service delivery, data governance, cybersecurity, and AI readiness do not necessarily advance at the same pace.

A single overall ranking cannot fully capture this complexity. What matters is identifying existing capabilities, understanding the barriers to better outcomes, and determining which investments will make the greatest difference.

A useful assessment must lead to decisions. Which foundations need strengthening? Which services should be redesigned first? Which dependencies should be reduced? Which skills must be developed?

5. Artificial Intelligence: An Accelerator, Not a Shortcut

Artificial intelligence creates new opportunities for public administration. It can make information easier to access, automate certain repetitive tasks, improve data analysis, and help governments anticipate needs.

AI can also support urban planning, infrastructure maintenance, resource allocation, and crisis preparedness. When applied to the right problems, it can free up staff time, accelerate processes, and improve the quality of decisions.

But AI does not automatically fix the structural weaknesses of government. It can amplify them. Incomplete data can produce misleading results. Poorly designed processes can be automated without being improved. Inadequately secured systems can expose new categories of sensitive information.

AI adoption must therefore rest on reliable data, clear governance, effective controls, and regular evaluation. Public institutions need to verify model outputs, monitor bias, protect confidential information, and define when human intervention is essential.

Where AI influences decisions with significant consequences for citizens, safeguards must be stronger. Responsibility must remain identifiable, explanations must be appropriate, and people must have meaningful ways to challenge decisions.

Sovereignty matters here, too. Governments need to understand how their data is used, what dependencies a particular solution creates, and whether they can audit, adapt, or replace the technology.

Depending on the sensitivity of the use case and operational requirements, different approaches may be appropriate: external services, dedicated environments, locally hosted models, or hybrid architectures.

AI can accelerate an administration that is already building coherent digital capabilities. It cannot replace the foundations that make transformation sustainable.

6. A Pragmatic Roadmap

Digital maturity cannot be declared into existence. It must be built from existing capabilities, clear priorities, and continuous improvement.

A pragmatic roadmap can focus on five priorities:

1. Assess existing capabilities. Review strategy, systems, data, cybersecurity, skills, governance, and service quality to identify the main barriers to progress.
2. Prioritize public value. Focus resources on the most important needs and desired outcomes rather than multiplying technology initiatives.
3. Strengthen the foundations. Improve data quality, interoperability, security, and control over dependencies before scaling more advanced solutions.
4. Redesign services around people. Simplify user journeys, coordinate services, eliminate unnecessary steps, and preserve inclusion.
5. Deploy AI selectively and responsibly. Start with clearly defined use cases, assess benefits and risks, and adapt oversight to the results.

Progress should be measured through tangible indicators: service accessibility and user satisfaction, processing times, system reliability, data quality, security, and demonstrable improvements in service delivery.

These indicators should do more than report on completed projects. They should help leaders decide where to invest, which problems to solve, and which capabilities to build next.

Digital maturity is a continuous learning process. It requires long-term vision, but also the willingness to revise decisions, learn from failure, and adapt priorities as needs evolve.

Conclusion — The Cost of Digital Immaturity

Digital lag means more than inefficient procedures or underperforming online services. Over time, it can constrain a nation’s or city’s ability to attract investment, protect infrastructure, manage technological dependencies, and respond to citizens’ expectations.

It can also limit the ability of public institutions to benefit from AI, real-time data, and smart infrastructure, while weakening their influence over the standards that will shape tomorrow’s digital environment.

Industrial history shows that societies able to integrate foundational technologies into the way they operate can transform their long-term development. Digital technologies and AI offer similar possibilities today, but their benefits are neither automatic nor guaranteed.

They depend on the ability to align strategy, data, interoperability, cybersecurity, skills, sovereignty, and responsible innovation. In other words, they depend on the digital maturity of public institutions.

The question is no longer just which technologies public administrations will adopt tomorrow, but which capabilities they are building today to remain in control of their choices.