Government Digital Transformation: Modernizing Services with Low-Code
Government digital transformation has entered a decisive new phase, building on broader enterprise AI and digital transformation strategies that have reshaped how large organizations approach technology modernization. Across the globe, public sector organizations are abandoning decades-old legacy systems in favor of low-code development platforms that dramatically accelerate service delivery, reduce costs, and empower non-technical staff to build citizen-facing applications. With the global low-code platform market reaching an estimated USD 26.30 billion in 2025 and projected to surge to USD 78.94 billion by 2031 at a compound annual growth rate of 20.12%, according to Mordor Intelligence, the technology is no longer a niche experiment but a core pillar of public sector IT strategy. From the United States to Ukraine, from Saudi Arabia to Singapore, governments are proving that low-code is not merely a shortcut for resource-constrained teams — it is a fundamentally better way to build, deploy, and maintain the digital services that citizens increasingly expect as a baseline, not a luxury.
What makes this moment different is the convergence of three forces: an urgent mandate to retire fragile legacy infrastructure, a persistent shortage of professional developers in the public sector, and the integration of generative AI into low-code platforms that now enable government staff to describe a service in plain English and receive a working prototype in seconds. Gartner predicted that over 35% of government legacy applications would be replaced by low-code solutions by the end of 2025, and by 2029, a staggering 80% of application development projects globally will rely on low-code development, up from just 15% in 2024. The public sector is not just participating in this shift — in many respects, it is leading it, making government digital transformation one of the defining technology narratives of the decade.
This article examines how government organizations worldwide are harnessing low-code platforms to modernize public services, the measurable benefits they are achieving, the role of AI in accelerating these efforts, and the governance frameworks that make it all possible. Along the way, we will explore real-world case studies, address common barriers to adoption, and assess what the future holds for digital government in an era defined by speed, transparency, and citizen-centric design.
The State of Government Digital Transformation in 2026
The scale of investment in government digital transformation through low-code technology has reached unprecedented levels. North America accounted for 30.6% of global low-code platform revenue in 2025, driven overwhelmingly by federal modernization mandates and the pressing need to retire COBOL-era systems that still power critical functions at agencies like the Internal Revenue Service, the Social Security Administration, and various state-level departments. Multi-award blanket purchase agreements (BPAs) for low-code solutions have reduced contract overhead by 23%, according to federal procurement data, making the business case for modernization increasingly straightforward even in fiscally constrained environments.
In Europe, the picture is equally dynamic. The United Kingdom government launched its cross-government Low-Code Community of Practice in February 2025, publishing an official service manual page on GOV.UK that provides guidance, best practices, and a collaborative forum for civil servants working with low-code platforms. The community forms part of a broader efficiency drive: all UK government departments face a mandated 5% efficiency savings target by 2028-29, and low-code is positioned as a primary vehicle for achieving it. The UK's State of Digital Government report identified up to £45 billion in potential productivity savings through combined AI and low-code adoption, a figure that has galvanized interest from the Cabinet Office down to local councils.
Germany has taken a distinctive approach through its MODUL-F initiative, a low-code/no-code platform built on the A12 technology stack — the same foundation that powers the country's ELSTER tax filing system. The state of Saxony-Anhalt, in partnership with Hamburg and Schleswig-Holstein, is offering free platform access to state and municipal governments through the end of 2026. Live use cases already include dog registration, bonfire permits, assembly notifications, and heritage building permits — the kind of routine administrative services that, when digitized, yield disproportionate improvements in citizen satisfaction.
The Asia-Pacific region is the fastest-growing market at a 21.13% CAGR, with Singapore's GovTech agency developing its own purpose-built low-code tool — the Optimal Government Rule Engine (OGRE) — featuring a drag-and-drop modeller, workflow automation, and embedded security compliance. China's low-code penetration across all industries reached 41.7% in 2026 according to the China Insights Consultancy, with the government and public sector segment experiencing over 50% year-on-year growth. The message is unmistakable: governments everywhere are pivoting to low-code, and the momentum is accelerating.
- Market size: USD 26.30 billion in 2025, projected to reach USD 78.94 billion by 2031.
- North America: 30.6% of global revenue, driven by COBOL modernization and FedRAMP requirements.
- UK: Cross-government Low-Code Community of Practice launched February 2025; £45 billion in identified AI + low-code savings.
- Germany: Free MODUL-F low-code platform for municipalities through 2026.
- Asia-Pacific: Fastest-growing region at 21.13% CAGR; Singapore GovTech building OGRE platform.
Why Legacy Systems Are Holding Government Back
To understand why low-code adoption is accelerating so rapidly, it is essential to grasp the magnitude of the legacy system problem facing governments. Many of the core administrative systems that process tax returns, distribute benefits, manage business registrations, and track regulatory compliance were built in the 1970s and 1980s using technologies — COBOL, mainframe architectures, monolithic databases — that fewer and fewer engineers are trained to maintain. The programmers who originally wrote these systems are retiring, and the institutional knowledge embedded in millions of lines of undocumented code is vanishing with them.
The consequences are not abstract. In 2020, when the COVID-19 pandemic triggered an unprecedented surge in unemployment claims, state-level systems in New Jersey, Florida, and California buckled under the load, leaving millions of citizens waiting weeks or months for benefits they urgently needed. Investigations after the fact revealed that many of these systems ran on COBOL code written decades earlier, patched together with layers of middleware that no single person fully understood. The pandemic did not create the fragility — it exposed it. And it catalyzed a political and administrative consensus that legacy modernization is no longer optional.
The cost of inaction is measured in more than system outages. Legacy infrastructure creates a compounding drag on government effectiveness: every new policy initiative requires expensive custom integration with antiquated back-end systems; every citizen-facing digital service must work around constraints baked into architectures designed before the internet existed; every security audit reveals vulnerabilities that cannot be patched because the underlying platform is no longer supported. A report by Ernst & Young notes that low-code platforms shrink project risk significantly compared to large-scale IT transformation initiatives, precisely because they enable incremental modernization — agencies can replace one component at a time, validating each step before proceeding to the next, rather than attempting a high-stakes "big bang" migration. This incremental approach mirrors the broader enterprise legacy migration strategies that have proven successful in both public and private sector environments.
Moreover, the developer talent gap in the public sector makes the legacy problem doubly acute. Governments simply cannot compete with private-sector salaries for skilled software engineers, and the bureaucratic hiring pipelines at most agencies are measured in months, not weeks. By 2026, Gartner estimates that 80% of developers globally will be outside formal IT departments — a phenomenon known as "citizen development" that low-code platforms are uniquely positioned to enable. When a city planning department can build its own permit approval workflow using drag-and-drop components and visual logic, it bypasses the IT bottleneck entirely and delivers value in days rather than quarters.
| Challenge | Impact on Government | How Low-Code Addresses It |
|---|---|---|
| Aging COBOL/mainframe systems | Soaring maintenance costs, security vulnerabilities, retiring workforce | Incremental migration of individual functions to modern cloud-based platforms |
| Developer talent shortage | 6-12 month hiring cycles, 30-50% salary premium vs. private sector | Citizen developers build apps without coding; IT focuses on governance |
| Budget constraints | Large-scale IT projects routinely exceed budgets by 50-200% | 23% reduction in contract overhead through low-code BPAs |
| Policy change velocity | Months to update hard-coded business rules | Visual rule engines enable same-day policy updates |
| Citizen expectations gap | Users compare government apps to commercial-grade UX | Pre-built UI components deliver modern, accessible interfaces out of the box |
How Low-Code Platforms Accelerate Public Sector Modernization
Low-code platforms deliver their impact through a deceptively simple proposition: they replace hand-written code with visual, drag-and-drop development environments that abstract away the complexity of modern application infrastructure. A government analyst who understands a permitting process but has never written a line of code can assemble a fully functional digital service — complete with form validation, database integration, workflow routing, and role-based access control — using pre-built components that have already been tested for security and compliance. The platform handles authentication, data encryption, audit logging, and scalability automatically.
The quantifiable benefits are striking. An independent analysis by Nucleus Research, commissioned by Creatio, found that public sector organizations using low-code platforms achieved an 88% acceleration in project delivery timelines, a 73% reduction in application delivery time, and a 75% decrease in code-writing effort. New project deployment times improved by 47%, and total application downtime fell by 39%. Some organizations consolidated ERP systems and realized up to USD 1.08 million in savings through reduced maintenance and administrative costs. These are not marginal improvements — they represent a step-change in how government IT operates.
Beyond the raw numbers, low-code platforms introduce a fundamentally different operating model for government technology delivery. The traditional model — requirements gathered over months, development outsourced to a systems integrator, testing conducted in a separate phase, deployment delayed by change advisory boards — gives way to what EY calls "fusion teams": cross-functional groups combining business domain experts with IT professionals who collaborate iteratively on a shared low-code canvas. Business stakeholders can inspect the application logic visually, in plain language, rather than reviewing thousands of lines of code they cannot read. Feedback cycles compress from months to hours.
This model also addresses one of the most persistent pathologies in government IT: the gap between what was requested and what was delivered. In traditional procurement-driven development, requirements documents are frozen at the start, but policy realities evolve continuously. By the time the system is delivered — often two or three years later — it may already be misaligned with current needs. Low-code platforms collapse this gap because the people who understand the policy are the people building the application. Changes can be made in real time, validated against live data, and deployed immediately.
Critically, low-code does not mean low-capability. Modern platforms support complex integrations with existing government systems through APIs, connectors for major enterprise databases, and the ability to embed custom code when unique logic is required. They are extensible rather than restrictive, allowing agencies to start simple and grow sophisticated without hitting a ceiling that forces a costly replatforming exercise.
- Speed: 88% faster project delivery; services built in days rather than months.
- Efficiency: 75% less code written; 47% faster deployment of new projects.
- Cost: Up to $1.08M in savings from ERP consolidation and reduced maintenance.
- Agility: Visual rule engines allow same-day policy updates without re-coding.
- Empowerment: Non-technical staff become "citizen developers," bypassing IT backlogs.
Real-World Case Studies: Government Agencies Leading the Way
The most compelling evidence for low-code in government comes not from analyst reports but from the agencies that have already made the transition. These case studies span continents, levels of government, and use cases, but they share a common thread: tangible, measurable improvements in service delivery achieved in timeframes that traditional development simply cannot match.
How Did Ukraine's Kitsoft Platform Deliver 200+ Government Services to 24 Million Citizens?
Ukraine's experience with government low-code is arguably the world's most instructive example of what the technology can achieve under extraordinarily demanding conditions. Kitsoft, a Ukrainian GovTech company, built the Liquio low-code platform that now powers over 200 government services used by more than 24 million citizens through the country's Diia e-governance portal — including e-Entrepreneur, uResidency, and eMaliatko (birth registration). In February 2026, Kitsoft made Liquio open source, releasing it to the global GovStack catalog as a recommended solution for governments worldwide. The platform includes an AI assistant purpose-built for government services, enabling new digital services to be configured and launched in four to six weeks rather than the six to eighteen months typical of bespoke government software projects.
The international impact has been immediate. In partnership with the International Telecommunication Union (ITU), Kitsoft ran a five-day workshop in Mauritania where over 30 officials from the ministries of Justice, Transport, Finance, and Digital Transformation built a fully functional "Company Registration in National Social Security Fund" e-service from scratch — integrating national registries and electronic ID systems in the process. Five separate teams completed the challenge successfully, demonstrating that the barrier to government digital transformation is not technical capability but access to the right platform. Similar GovStack workshops have since been conducted in Montenegro, where municipal teams built prototypes for social aid distribution, real estate tax payment, and business licensing.
How Is the City of Boston Reinventing 311 Services with No-Code?
The City of Boston replaced its legacy 311 non-emergency service infrastructure with Creatio's AI-native no-code platform, serving over 675,000 residents with intelligent case management and 24/7 service access. Jay Greenspan, Senior Director of 311 and Basic City Services, described the transformation succinctly: "We can have an idea, build it, and get feedback quickly." The platform enables city staff — not professional developers — to iterate on service workflows in response to real-time citizen feedback, compressing the improvement cycle from months to hours. The City of Pittsburgh followed a similar path, using Creatio to modernize discrimination complaint handling for its Commission on Human Relations, adding full audit trails, secure access, and real-time status updates for complainants.
How Did a Saudi Government Authority Achieve 150% ROI with Low-Code?
A leading Saudi government authority — responsible for public licensing and permits across multiple sectors — partnered with Xebia to deploy a low-code e-services accelerator that automated over 300 workflows and integrated more than 50 systems spanning eight ministries. The results, reported in a Xebia customer study, included a 150% return on investment, approximately 40% cost savings, a 92% platform satisfaction rate among users, a 95% application completion rate, and over 12,500 digital submissions processed. The project was aligned with Saudi Arabia's Vision 2030 national transformation agenda and demonstrated that low-code can operate at the scale and complexity demanded by whole-of-government licensing regimes.
How Did Warren County, New York Consolidate 80+ Applications on a Single Platform?
Warren County, New York, provides a compelling example at the local government level. The county had accumulated over 80 web-based applications across more than 20 departments — building permits, tax collection, HR, public works, DMV services, and more — each purchased or built separately, each with its own maintenance burden and vendor relationship. Using Jitterbit's low-code platform with an AI coding interface, the county consolidated everything onto a single platform under a five-year contract totaling just USD 140,000 — roughly the cost of a single department's annual spend on a standalone vendor system. The AI-powered development interface was described by county officials as transformative, enabling small teams to build and maintain applications across domains that previously required specialized vendors for each function.
The AI-Low Code Convergence in Government
The most significant development in the low-code landscape over the past eighteen months has been the integration of generative AI copilots directly into the development experience — a trend we explored in depth in our analysis of how AI-powered low-code platforms are reshaping enterprise development. Microsoft Power Platform — recognized as a Leader in the 2025 Forrester Wave for Low-Code Platforms for Professional Developers — now includes Copilot capabilities that allow government users to describe a desired application in natural language and receive a working prototype complete with data models, form layouts, and workflow logic in seconds. The platform counts over 56 million monthly active users with 27% year-on-year growth and is used by 97% of Fortune 500 companies, according to Microsoft's disclosure, giving it an enterprise governance pedigree that resonates with cautious government buyers.
The AI-low code convergence matters for government specifically because it addresses the last-mile problem of citizen development: while drag-and-drop interfaces lowered the barrier to building applications, they still required users to think in terms of data models, business logic, and screen flows — concepts that are second nature to engineers but foreign to policy analysts and program managers. Generative AI bridges this gap by handling the translation from domain expertise to application architecture. A social services caseworker can say, "I need a form that collects income verification documents, routes them to a supervisor for approval, sends the applicant a status update, and logs every step for audit purposes," and the platform generates the application shell automatically. The caseworker then refines it, focusing on policy accuracy rather than technical implementation.
This convergence also strengthens the governance and compliance argument for low-code. Hitachi Solutions notes that AI-generated pro-code requires extensive peer review and security testing before it can be deployed in production, whereas low-code platforms provide pre-tested, pre-approved components that automatically comply with data loss prevention (DLP), identity management, and audit policies — governance is "built in, not retrofitted." For government agencies operating under FedRAMP, GDPR, or equivalent regulatory frameworks, this distinction is operationally decisive. It means that AI assistance can accelerate development without creating new compliance risks.
The UK government's approach exemplifies this integration. Managed Environments within Power Platform enable departments to create controlled sandboxes for AI-first application experimentation while maintaining centralized oversight of data residency, sharing controls, and capacity allocation. The model allows for rapid innovation at the edges — individual departments and agencies building what they need — while preserving the security perimeter that government IT leadership requires. It is a pattern that other large government ecosystems are beginning to replicate.
How Does Generative AI Change the Role of Government IT Teams?
Generative AI embedded in low-code platforms does not eliminate the need for skilled IT professionals in government; it changes their role from builders to enablers. Instead of writing and maintaining thousands of lines of custom code, IT teams focus on platform governance, integration architecture, security policy, and coaching citizen developers within business units. This is a higher-leverage use of scarce technical talent and one that aligns better with the public sector's chronic difficulty in recruiting and retaining senior engineers. The Brazilian National Treasury, for example, used low-code platforms combined with intelligent agents to democratize technology development across the organization, transforming its IT function from a bottleneck into an enabling capability — a case study presented at the 2025 Gartner CIO and IT Executive Conference in Brazil.
Can AI-Powered Low-Code Platforms Truly Handle Government-Grade Complexity?
Skeptics of low-code in government often point to the unique complexity of public sector operations: inter-agency data sharing, multi-jurisdictional regulatory frameworks, legacy system integrations, and the sheer scale of citizen-facing services. These are legitimate concerns — but the evidence from 2025-2026 deployments suggests they are manageable within modern low-code platforms. The Saudi licensing authority integrated 50+ systems across eight ministries. Ukraine's Liquio handles 200+ services for 24 million citizens. The Arizona Secretary of State is migrating a 20-year-old desktop filing system handling business registrations, notaries, and UCC liens to the Mendix low-code platform on AWS GovCloud with FedRAMP authorization. Each of these cases involves authentic government complexity — and each was delivered on a low-code foundation. The key insight is that low-code platforms have evolved from simple form builders into full-stack application platforms capable of enterprise integration, complex workflow orchestration, and production-grade security.
Security, Compliance, and Governance in Public Sector Low-Code
No discussion of government technology would be complete without addressing the security and compliance dimension, which is frequently cited as the primary barrier to low-code adoption in the public sector. The concern is reasonable: if non-technical staff can build applications that handle citizen data, what prevents them from inadvertently exposing that data or violating regulatory requirements? The answer, increasingly, is that governance is baked into the platform layer itself rather than left to individual developers to implement correctly.
Enterprise-grade low-code platforms purpose-built for government now offer FedRAMP authorization, FISMA compliance, Section 508 accessibility standards, GDPR and data sovereignty controls, encryption at rest and in transit, role-based access control, and full audit logging — all configured at the platform administration level rather than coded into each application. When a citizen developer builds a new form, the platform automatically enforces the organization's DLP policies, authentication requirements, and data retention rules. The developer does not need to understand these policies to comply with them; the platform acts as a guardrail system that makes compliance the default rather than an afterthought.
The Managed Environments concept pioneered by Microsoft Power Platform and adopted in various forms by other vendors is particularly well-suited to government. It allows central IT to define segregated environments for different departments or sensitivity levels — a sandbox for experimentation, a production environment for citizen-facing services, a highly restricted environment for law enforcement or tax data — each with its own data loss prevention policies, sharing controls, and capacity limits. The UK government's Low-Code Community of Practice explicitly addresses this governance model in its service manual guidance, reflecting a maturing understanding that low-code governance is a strategic capability rather than a set of after-the-fact restrictions.
The audit trail capabilities of modern low-code platforms also address a uniquely government requirement: the need to demonstrate — to oversight bodies, auditors, and the public — exactly who accessed what data, when, and why. Because the platform mediates all data access through a centralized service layer, every interaction is automatically logged with timestamp, user identity, and action detail. This is a meaningful improvement over legacy systems where audit logging was often retrofitted inconsistently across applications, leaving gaps that compliance auditors would eventually discover.
International data sovereignty requirements are another area where low-code platforms have matured rapidly. Government agencies in the European Union, for instance, must ensure that citizen data does not leave the jurisdiction without explicit safeguards. Leading low-code platforms now support region-specific data residency, allowing agencies to specify that all application data and metadata remain within designated geographic boundaries. This capability, combined with encryption key management that keeps keys under the agency's control, addresses one of the most persistent objections to cloud-based government platforms.
| Security/Compliance Requirement | How Modern Low-Code Platforms Address It |
|---|---|
| FedRAMP / FISMA (US) | Pre-authorized platform instances on AWS GovCloud, Azure Government |
| GDPR (EU) | Region-locked data residency, encryption key sovereignty, DPO-accessible audit logs |
| Section 508 Accessibility (US) | Pre-built UI components that meet WCAG 2.1 AA standards out of the box |
| Data Loss Prevention | Platform-level DLP policies enforced automatically across all citizen-built applications |
| Audit & Oversight | Centralized, immutable audit logs for every data access and configuration change |
| Identity & Access Management | Native integration with Azure AD, Okta, and government SSO infrastructure |
Overcoming Barriers to Low-Code Adoption in Government
Despite the compelling evidence, government adoption of low-code platforms is not frictionless. Several barriers — cultural, organizational, and technical — must be addressed for agencies to realize the full benefits of the technology. Understanding these barriers is essential because they shape the implementation strategies that distinguish successful government low-code programs from those that stall.
Procurement culture is perhaps the deepest-rooted obstacle. Government IT procurement has been optimized over decades for large, multi-year contracts with established systems integrators. Low-code platforms disrupt this model by enabling rapid, iterative development that does not fit neatly into fixed-price, fixed-scope contract vehicles. The solution, increasingly adopted by forward-leaning agencies, is to establish enterprise platform agreements — blanket purchase agreements that give individual departments and agencies on-demand access to low-code capabilities without negotiating separate contracts for each project. The US federal government's multi-award BPA approach, which reduced contract overhead by 23%, provides a template that other jurisdictions are beginning to follow.
Workforce anxiety is the second major barrier. When government IT staff hear "low-code" and "citizen developer," they often hear "job replacement." Successful transformation programs address this head-on by framing low-code not as a replacement for IT professionals but as a force multiplier that frees them from routine application delivery to focus on higher-value work: platform architecture, cybersecurity, data engineering, and integration strategy. The Brazilian National Treasury's experience is instructive here: by positioning IT as an enabler of business-led development rather than a gatekeeper, the agency increased both IT job satisfaction and overall technology delivery velocity.
Vendor lock-in concerns are legitimate and require proactive mitigation. Governments that build hundreds of applications on a single low-code platform rightfully worry about the long-term implications for cost, data portability, and negotiating leverage. The emergence of open-source low-code platforms — exemplified by Ukraine's decision to open-source Liquio in February 2026 — provides one path to mitigating this risk. Another approach, adopted by several European governments, is to require that all applications built on low-code platforms export their data and logic in standard, machine-readable formats (such as BPMN 2.0 for workflows and JSON Schema for data models) as a condition of platform adoption.
Shadow IT risks must also be managed. Without proper governance, enthusiastic adoption of low-code tools by individual departments can lead to a proliferation of unmanaged applications — each with its own data stores, authentication schemes, and update cycles — recreating the fragmentation that low-code was supposed to solve. The antidote is the Managed Environments model described earlier: give departments the freedom to build, but within a centrally governed platform that enforces consistent security, data, and integration policies. This balance between federation and control is the central organizational challenge of government low-code adoption.
Finally, there is the skills and training barrier. While low-code platforms dramatically reduce the technical expertise required to build applications, they do not eliminate the need for training entirely. Citizen developers need to understand data modeling concepts, workflow design principles, and user experience fundamentals. Governments that invest in structured training programs — including the community-of-practice model that the UK has pioneered — see significantly higher success rates than those that simply provision licenses and hope for organic adoption.
- Procurement reform: Enterprise platform agreements reduce per-project overhead by 23%.
- Workforce communication: Frame low-code as IT force multiplier, not replacement.
- Open-source options: Platforms like Liquio provide an exit strategy for vendor lock-in concerns.
- Managed governance: Centrally governed environments prevent shadow IT proliferation.
- Structured training: Community-of-practice models yield higher adoption success rates.
Conclusion: What Low-Code Means for the Future of Digital Government
The evidence from 2025 and 2026 leaves little room for doubt: low-code platforms are the most consequential development in government technology since the adoption of the internet itself. They address, simultaneously, the legacy modernization imperative, the developer talent shortage, the demand for faster and more responsive citizen services, and the governance requirements that make public sector IT uniquely challenging. The question is no longer whether governments should adopt low-code platforms — it is how quickly and how well they can do so.
The trajectory points toward a future in which the majority of government digital services are built and maintained on low-code foundations, with professional developers focused on the platform layer — building connectors, ensuring security, optimizing performance — while domain experts in policy, program management, and citizen engagement assemble the services themselves. This is not a downgrading of government IT capability but a democratization of it, distributing the power to build digital solutions across the workforce rather than concentrating it in a small, overburdened technical cadre.
The AI-low code convergence will accelerate this trend dramatically. As generative AI copilots become standard features of low-code platforms, the barrier to building sophisticated applications will fall further still. Government employees who understand a policy domain deeply but have no technical background will be able to interact with AI assistants in natural language and receive working applications in return — applications that are secure, compliant, and integrated by default because the platform enforces those properties automatically. This is the vision that the UK's £45 billion productivity estimate, Gartner's 80% by 2029 prediction, and the real-world results from Ukraine, Saudi Arabia, Boston, and Warren County all point toward.
Yet technology alone will not deliver the transformation. Governments must also modernize their procurement practices, invest in workforce training, build cross-agency communities of practice, and establish governance frameworks that enable innovation without sacrificing security. The countries and agencies that do this well — that treat government digital transformation and low-code not as a cost-cutting tactic but as a strategic capability — will deliver better services to their citizens, more efficiently, and with greater resilience than those that cling to the legacy model. In an era where citizen expectations of digital government are shaped by the seamless experiences delivered by commercial platforms, the cost of falling behind has never been higher — and the tools to catch up have never been more accessible.
Government digital transformation powered by low-code is not a distant prospect. It is happening now, in agencies and municipalities on every continent, producing measurable results that traditional approaches could not match. For public sector leaders who have not yet begun their low-code journey, the message from 2026 is clear: government digital transformation powered by low-code is not a future trend — it is today's operational reality, the platform is ready, the evidence is in, and the time to start is now.