top of page

The DGM is designed for the leaders accountable for a government entity's digital performance and its position in national and international rankings:

  • Ministers' offices, Directors-General and Under-Secretaries

  • Chief Digital Officers, Chief Information Officers and Chief Data Officers of government entities

  • Heads of Digital Transformation, e-Government and Government Excellence units

  • Secretaries-General and ICT Directors of parliaments, legislatures and courts

  • Municipal and local government executives

  • Regulators, authorities and state-owned service providers

  • National digital government agencies assessing the entities they oversee

  • Transformation offices preparing an AI or digital services business case

DGM_standards_3.png

Every dimension of the DGM framework maps to the instruments used to measure digital government worldwide:

 

- United Nations E-Government Development Index (EGDI) — Online Services, Telecommunication Infrastructure and Human Capital indices

- World Bank GovTech Maturity Index (GTMI) — Core Government Systems, Public Service Delivery, Digital Citizen Engagement and GovTech Enablers

- OECD Digital Government Index — Digital by design, Data-driven public sector, Government as a platform, Open by default, User-driven, Proactiveness

- Deloitte Government Trends and State of AI in the Enterprise research

- Saudi Digital Government Authority — Qiyas Digital Transformation Measurement

- UAE TDRA — DGOV Digital Government Maturity Model

- OECD AI Principles, NIST AI Risk Management Framework 1.0, ISO/IEC 42001:2023

- ISO/IEC 27001 and NIST Cybersecurity Framework 2.0

Assessment Scope

The DGM evaluates the entity as an institution — not a single project, system or department. It applies to ministries, authorities, agencies, regulators, municipalities, parliaments, courts and state-owned service providers of any size, in any country. Questions refer to the applicable national law, the national digital government authority and the national cloud and data-residency policy, so the framework travels across the GCC, the wider Middle East, Africa and beyond without modification.

ASSESSMENT PHILOSOPHY & DESIGN PRINCIPLES

The scoring framework is built on eight design principles that ensure rigor, fairness, and actionability

Principle 1 — Evidence Over Intention

Every answer option describes an observable state — a policy that exists, a register that is maintained, a KPI that is reported. Draft strategies, pilots and plans do not score as capability. Respondents should answer as if presenting to an external auditor or an index assessor.

Principle 2 — Measured the Way Governments Are Measured

The dimensions, vocabulary and benchmarks follow the international indices, so an entity can read its DGM results in the language of its EGDI, GTMI, OECD, Qiyas or DGOV ambitions — and see which capabilities move which indicator.

Principle 3 — Investment Feasibility

The twelve dimensions cover, in order, the workstreams of a full digital government and AI readiness study: ICT systems audit, document workflows, data readiness and digitization, directing the government entity where to focus their next budget allocation.

Principle 4 — Foundations Gate Everything Else

Three dimensions — strategy and governance, data readiness, and security, privacy and sovereignty — are Critical Threshold Dimensions. If any falls below the foundational threshold, the overall maturity level is capped, because capability built on ungoverned strategy, unusable data or unsecured platforms overstates real readiness.

Principle 5 — Sovereignty Is a First-Class Domain

Data residency, cross-border transfer control, locally hosted AI models and national cloud policy are assessed explicitly, not as a footnote to cybersecurity.

Principle 6 — Users Are Not One Group

Requirements are assessed separately for officials and decision-makers, operational staff, researchers and analysts, and the public — including accessibility, multilingual delivery and digital inclusion.

Principle 7 — Actionability Over Precision

Every dimension score maps to a maturity-level interpretation with implications, five recommended actions, the key risk and the path to the next level, consolidated into a prioritized action plan and a three-horizon roadmap.

Principle 8 — Two Benchmarks Create Perspective

Each report positions the entity against its selected region — GCC, Middle East or Africa — and against a Global reference, calibrated from the UN, World Bank, OECD, DGA, TDRA and Deloitte data and Planaletix advisory experience with government entities.

ASSESSMENT DIMENSIONS

120 structured questions. Weighted scoring. Benchmarked against your sector and region.
DGM_dimensions_1.png
D1 - Digital Strategy, Leadership & Governance [12%]
D2 - ICT Systems Landscape & Interoperability [9%]
Approved digital strategy, accountable digital leadership, governance body and decision rights, alignment to the national agenda and international indices, portfolio prioritization, enabling legal framework, KPIs and index tracking, digital-by-design, cross-agency collaboration, AI positioning.
Application inventory, enterprise architecture, interoperability framework adoption, legacy and technical debt, integration gaps, shared platforms and government cloud, digital identity integration, service management, open standards and vendor lock-in, continuous landscape review.
D3 - Document & Information Workflows [7%]
D4 - Data Assets, Quality & Readiness [12%]
Creation standards, records management coverage, classification and metadata, retention and archiving, retrieval and search, dissemination and publication, workflow automation and e-approvals, authenticity and audit trail, digitisation of legacy records, accessibility and open formats.
Data inventory and catalogue, ownership and stewardship, quality management, completeness of core datasets, digitisation and OCR readiness, metadata and master data standards, normalisation and machine-readability, sharing agreements and open data, lifecycle management, readiness for AI.
D5 - AI & Technical Architecture Readiness [9%]
D6 - Infrastructure & Compute Readiness [8%]
Use-case prioritisation, evaluation of AI architecture patterns (RAG, hybrid search, knowledge graphs), locally hosted and sovereign language models, vector databases and semantic search, model evaluation, scalability and latency requirements, MLOps and LLMOps, knowledge-base management, sandbox practice, AI engineering skills and partners.
Data centre capability, capacity planning, GPU and accelerator requirements, cloud and hybrid deployment options, network and connectivity, resilience and disaster recovery, infrastructure automation, energy and sustainability, upgrade roadmap and funding, operations and SLAs.
D7 - Security, Privacy & Data Sovereignty [11%]
D8 - Service Design, Functional & User Requirements [8%]
Security governance and risk assessment, AI-specific threat assessment, role- and attribute-based access control, encryption and key management, monitoring, logging and audit, compliance with national data protection law, data residency and cross-border controls, privacy by design, incident response, vendor and supply-chain security.
User research and personas, requirements definition practice, requirements for officials, staff, researchers and the public, non-functional requirements, accessibility and multilingual standards, service standards and user acceptance, proactive and omnichannel delivery.
D9 - Integration Architecture & API Ecosystem [6%]
D10 - Financial & Economic Case [6%]
Target integration architecture, API management, integration with document management, records and transcript systems, portals and public channels, internal databases and legacy APIs, national interoperability platform, integration security, monitoring and error handling, developer and third-party enablement.
Total cost of ownership, capital and operating cost visibility, cost-benefit analysis, ROI and value measurement, benefits realisation, funding sustainability, digital and AI procurement, FinOps, economic and social value, investment governance.
D11 - Risk, Ethics & Responsible AI Governance [6%]
D12 - Implementation, Institutional Capacity & Change [6%]
Legal, ethical and operational AI risk identification, responsible AI policy, AI governance body, human oversight and explainability, AI risk register, public transparency, model monitoring and redress, alignment with OECD AI Principles, NIST AI RMF and ISO/IEC 42001.
Phased roadmap, programme governance and PMO, institutional arrangements and operating model, capacity building and AI fluency, change management and adoption, talent, partnerships, pilot-to-scale methodology, monitoring and evaluation, sustainability.

Continuous, data-driven improvement; externally benchmarked; recognised by the national digital government authority as a reference implementation.

Optimized

Capabilities are measured with KPIs, reviewed by leadership and independently validated; the entity is ahead of its regional benchmark.

Managed

Strategy, data, security and service practices are documented, governed and consistently applied; foundations for AI are in place.

Defined

Practices have started and are partly documented but are inconsistent and unmeasured; pilots exist without a governed programme.

Initial

Ad Hoc

No governed strategy, data inventory or security baseline; digital and AI investment is premature until foundations are built

Executive Deliverables

  • ​Executive summary with overall score, maturity level and Critical Threshold status

  • 12-axis maturity radar against the regional and Global benchmarks

  • Benchmarking comparison table with gap commentary per dimension

  • Per-dimension findings, implications, recommended actions, key risk and path to the next level

Action Plan

  • Top 5 priorities ranked by threshold status and benchmark gap

  • Three-horizon implementation roadmap (0–6, 6–12, 12–24 months)

  • Institutional and capacity-building recommendations

  • Index alignment map — which dimensions move which EGDI, GTMI, OECD, Qiyas and DGOV indicators

  • Recommended next steps: validation workshop, feasibility study, transformation roadmap

MATURITY MODEL: FIVE LEVELS DEFINED

One Honest Score. A Clear Roadmap Forward.

Start the assessment

Planaletix Digital Transformation Maturity workshop order

Consultation Assessment

(Custom)

Planaletix Digital Transformation Maturity model
Grid Pattern Facade

Digital Government Maturity Assessment

Governments Are Measured by Global Indices — But Readiness Is Decided Inside the Entity

The Planaletix Digital Government Maturity Assessment (DGM) evaluates a government entity's readiness to deliver trusted digital and AI-enabled services across twelve critical dimensions: digital strategy and governance, ICT systems and interoperability, document and information workflows, data readiness, AI and technical architecture, infrastructure and compute, security, privacy and sovereignty, service design and user requirements, integration and the API ecosystem, the financial and economic case, responsible AI, and implementation capacity.

  • Built to mirror the ten workstreams of a full digital government and AI readiness feasibility study — from the ICT systems audit and data inventory to the total cost of ownership and the phased roadmap

  • Anchored to the indices governments are ranked by: UN EGDI, World Bank GTMI, OECD Digital Government Index, DGA Qiyas and TDRA DGOV

  • Dual benchmarking — the entity's own region (GCC, Middle East or Africa) and a Global reference — in every report

The assessment is not an IT audit and not an index submission. It is a readiness evaluation of the whole institution — strategy, data, technology, security, services, money and people — measured the way the international indices measure it, and interpreted the way a consultant would.

Target Audience
bottom of page