Case Study Library

The Saudi Commission for Health Specialties introduced Basma as a new model to help healthcare professionals navigate complex regulatory services more easily. The platform uses artificial intelligence and a localized avatar to translate regulations into clear, step-by-step guidance, enabling practitioners to understand requirements and complete processes independently. This improves access to services, reduces confusion, and enhances the efficiency of regulatory service delivery.

Indonesia ranks as world's second most disaster-prone country, with climate-related losses reaching Rp50 trillion (±USD 3 billion) annually. Over 75,000 villages bear the greatest burden of climate and disaster risks, yet often lack the data needed to allocate climate and disaster budgets effectively. IRID Dashboard, developed by the Ministry of Finance, integrates climate risk indices, village budgets, and fiscal transfers into one free, map-based platform. Users can filter and analyze data…

Subway HVAC systems were mostly managed after failures or through routine inspections, leaving gaps in reliability and station air-quality control. Incheon Transit Corporation built an AIoT platform that uses vibration and noise sensors with AI analytics to detect early warning signs and support maintenance decisions. It is innovative because it combines predictive diagnosis, maintenance history and parts-cycle management in one operational platform.

Gaeilge365 was created to respond to growing demand for bilingual public services while opportunities to use Irish in everyday local authority services remained limited. It redesigns existing services to create real speaking opportunities, increasing annual use from 10,000 to over 26,000 in one year, with a target of 150,000 by 2028. It is innovative because it replaces translation‑based compliance with a scalable, measured service model that delivers clear social impact.

A digital population twin, combined with financial impact analysis, helps governments anticipate how demographic change and shifting risk patterns affect future service needs and costs. Built from real population data and enriched with research and administrative data, it supports precise forecasting, simulation, and planning. In Finland, it has been used to model future accident risks for rescue services at a highly detailed spatial level.

Government entities often face delays and inconsistent implementation because complex digital policies are difficult to translate into clear technical action. DGCP is an AI-enabled platform that converts policy documents into actionable technical requirements and implementation-ready outputs, helping government teams deliver more compliant and consistent digital services. It is innovative because it connects policy interpretation and technical execution in one workflow.

Securing Foreign Pension Rights via AI & Big Data “Finding Hidden Foreign Pensions” Proactive Identification: Using AI-based data analysis to preemptively identify and notify potential beneficiaries. Transforming the Claim Support Process: From a passive approach to a scientific, data-driven identification method. Impact: Reversed the annual decline, expanding eligibility guidance eightfold from 202 in 2024 to 1,525 in 2025

Conecta is a platform that allows public administrators to use technology to anticipate problems faced by cities during extreme weather events, such as flooding, landslides, accidents, and fallen trees. The platform integrates and unifies real-time alerts from different technological sources, enabling faster decision-making and more effective emergency response. Additionally, all the data generated and compiled will allow society to understand new reality and measure how efficiently public…

Guatemala's Mano a Mano transforms fragmented social policy into an integrated, data-driven system. By creating the Social Household Registry (RSH) and a coordination system, the innovation eliminates institutional silos, reduces clientelism, and enables real-time tracking of interventions across 11 institutions—resulting in more precise targeting of vulnerable households and measurable reductions in poverty and malnutrition through coordinated territorial interventions.

New Brunswick faces an urban development challenge driven by record population growth, which also impacts biodiversity flow on the outskirts of urban regions. This Project used advanced virtual simulation technology to help municipalities evaluate urban development and infrastructure solutions before implementation. By creating digital replicas of cities and rural land use, decision-makers can test hundreds of scenarios and make evidence-based choices that improve territory management.