The following cases illustrate how the AURORA Framework works in practice. Each solution spans Design, Deliver, and Sustain, because lasting reform requires all three. These are representative engagements that reflect the types of challenges we address and the integrated way we work.
Social Protection
Unified registries, adaptive response, grievance redress, and aged care coordination
Integrated Social Protection Digital Platform
The Challenge
A country's social protection system is fragmented across multiple ministries and agencies, each running separate programs with disconnected registries, inconsistent eligibility criteria, and no unified view of beneficiaries. Crisis response is improvised. Citizens navigate a maze of offices with no single point of entry. Existing IT investments are siloed, costly to maintain, and incompatible with each other.
The government seeks a unified, low-cost digital platform, built on open-source foundations, that brings together a Social Registry, a Consolidated Beneficiary Registry, configurable Social Assistance Program Administration, and Disaster Response capabilities into one coherent infrastructure. The entire process must be co-designed with government counterparts, making it a capacity-building exercise as much as a technical delivery.
Co-Design the Blueprint
- Policy and Program Design: Map all existing social assistance programs, harmonize eligibility criteria, define benefit structures, and design a unified intake and referral model across programs
- Service Delivery Design: Design end-to-end workflows, from community-based outreach and registration through assessment, enrolment, payment delivery, case management, grievance redress, and exit, including disaster response surge protocols
- Institutional Governance: Define roles and coordination mechanisms across ministries, agencies, and levels of government; establish a cross-institutional governance committee for the platform
- IT Architecture Blueprint: Assess existing open-source solutions (e.g., OpenSPP, MOSIP, OpenCRVS), design a modular architecture with interoperability standards, data exchange protocols, and integration points
- Legal and Data Protection Framework: Draft data sharing agreements, privacy-by-design specifications, consent frameworks, and safeguards for vulnerable populations
- Costing and Financing Strategy: Develop a total cost of ownership model comparing open-source integration vs. proprietary alternatives, aligned with government budget cycles
Build and Deploy Together
- Open-Source Integration: Configure, customize, and integrate selected open-source modules into a coherent platform (Social Registry, Beneficiary Registry, Program Administration, and Disaster Response) using agile co-delivery with government IT teams
- Co-Development as Training: Every sprint involves government developers, business analysts, and program managers working alongside the Manta team, building institutional capability through hands-on co-creation, not classroom lectures
- Data Migration and Cleansing: Consolidate and clean existing beneficiary data from fragmented databases into the unified registry, with deduplication and data quality protocols
- Interoperability Layer: Build middleware and APIs connecting the platform with national ID systems, civil registration, payment providers, and humanitarian response systems
- Pilot and Iterate: Deploy in selected districts, test with real users and real data, iterate based on frontline feedback, then prepare for national rollout
- Disaster Response Module: Configure rapid-enrolment and emergency payment workflows that can be activated within hours of a crisis declaration, linked to early warning systems
Transfer and Institutionalize
- Capability Transfer: Structured handover of all platform administration, configuration, and maintenance to government teams who co-built it, with no vendor lock-in, full source code ownership
- Operational Routines: Establish SOPs for data updates, registry maintenance, program configuration changes, user management, and incident response
- Performance Monitoring: Deploy dashboards tracking registration coverage, payment timeliness, grievance resolution rates, and system uptime, enabling data-driven management
- Community of Practice: Create a cross-ministry community of practice for ongoing knowledge sharing, troubleshooting, and platform evolution
- Continuous Improvement Cycle: Quarterly review process linking M&E findings, user feedback, and operational data to platform improvements and policy adjustments
Expected Impact
Adaptive Social Protection Framework
The Challenge
A climate-vulnerable country faces recurring droughts, floods, and economic shocks that push households in and out of poverty. The existing social protection system is static, designed for chronic poverty, with fixed beneficiary lists, annual enrollment cycles, and no mechanism to respond rapidly when a shock hits. Humanitarian response and social protection operate as parallel systems with different registries, targeting criteria, and delivery channels.
The government wants to build an Adaptive Social Protection (ASP) system that can flex, scaling up benefits, expanding coverage, and switching delivery channels when early warning triggers indicate an impending or unfolding crisis, while maintaining the efficiency and accountability of its routine social protection programs.
Policy and System Architecture
- ASP Policy Framework: Define triggers, thresholds, and decision rules for scaling up, linking early warning indicators (drought indices, flood forecasts, food price data) to pre-agreed response protocols
- Flexible Program Rules: Design configurable eligibility criteria that can expand from chronic poverty targeting to shock-affected populations, with clear escalation tiers (yellow, orange, red)
- Delivery Channel Design: Map alternative payment and service delivery channels for crisis contexts (mobile money, emergency cash points, in-kind distribution) with pre-negotiated contracts
- Data Integration Architecture: Design the link between early warning data sources, the Social Registry, and program administration systems so that trigger-to-response is automated, not manual
- Financing and Contingency Framework: Design the fiscal instruments (contingency budget lines, insurance mechanisms, pre-arranged financing) that ensure funds are available when triggers fire
- Governance and Coordination: Define decision-making authority for scale-up activation, involving social protection, disaster management, and finance ministries with clear mandates
Build Readiness and Test
- Early Warning Integration: Connect meteorological, food security, and economic monitoring data feeds to the social protection platform, with automated alerts when thresholds are breached
- Registry Expansion Protocols: Implement rapid registration workflows and pre-registration of at-risk households in disaster-prone areas, enabling instant eligibility verification when a trigger fires
- Simulation Exercises: Run full-scale simulation drills, from trigger detection through eligibility expansion, payment authorization, and delivery, to stress-test the system and build institutional muscle memory
- Training for Adaptive Operations: Train frontline workers, local government officials, and payment agents on surge protocols, including rapid enrollment, grievance handling during emergencies, and community communication
- Payment System Readiness: Pre-configure payment switches and contracts with mobile money operators and banks for emergency disbursement, with tested fallback channels
Institutionalize and Learn
- Standing Readiness: Embed ASP operational procedures into the routine business processes of the social protection agency, not as an emergency add-on, but as a permanent institutional capability
- Annual Readiness Reviews: Institutionalize annual reviews of triggers, thresholds, pre-registered populations, payment channel readiness, and financing adequacy, updating as risk profiles evolve
- After-Action Learning: After each activation (or drill), conduct structured after-action reviews documenting what worked, what failed, and what must change, feeding findings into system improvements
- Cross-System Convergence: Gradually merge humanitarian response data and social protection registries into a unified system, reducing duplication and strengthening the national shock-response architecture
- M&E for Adaptive Systems: Design monitoring frameworks that capture both routine and crisis-mode performance: response time, coverage accuracy, exclusion errors, beneficiary satisfaction
Expected Impact
Unified Grievance Redress Mechanism
The Challenge
A country operates dozens of social programs across multiple ministries, each with its own ad-hoc complaint handling process, or none at all. Citizens who are wrongly excluded, receive incorrect benefits, or face misconduct have no clear, trusted channel to seek resolution. Complaints get lost between agencies. There is no data on systemic issues, no accountability for response times, and no feedback loop connecting citizen grievances to program improvements.
The government wants a Unified Grievance Redress Mechanism (GRM): a single, multi-channel system through which citizens can raise complaints about any social program, with standardized intake, routing, resolution tracking, and escalation, regardless of which ministry administers the program.
GRM Architecture and Policy
- GRM Policy Framework: Define the legal basis, citizen rights, complaint categories, resolution standards, escalation paths, and institutional mandates for a cross-program GRM
- Multi-Channel Intake Design: Design intake channels accessible to all populations, including call centers, SMS/USSD, community-based collection points, online portals, and in-person desks, with standardized categorization and routing rules
- Workflow and SLA Design: Map the end-to-end complaint lifecycle (intake, acknowledgement, triage, assignment, investigation, resolution, appeal, closure) with time-bound service level agreements per category
- Referral and Escalation Logic: Define how complaints are routed to the correct program or agency, how unresolved cases escalate, and how cross-cutting issues (affecting multiple programs) are handled
- Safeguards and Anonymity: Design protections for complainants, including anonymous submission, whistleblower protections, gender-sensitive protocols, and accessibility for persons with disabilities
Build, Train, and Launch
- GRM Digital Platform: Deploy a case management system (built on or integrated with the national SP platform) supporting ticket creation, routing, status tracking, SLA monitoring, and analytics
- Multi-Channel Integration: Connect intake channels (call center, SMS, web, community workers' mobile apps) to the central case management system with real-time synchronization
- Staff Training and Protocols: Train GRM operators, program-level focal points, and community facilitators on intake procedures, case handling, sensitive complaint protocols, and the digital platform
- Citizen Awareness Campaign: Co-design and launch an outreach campaign informing citizens about the GRM: what they can report, through which channels, and what to expect, in local languages
- Pilot in Priority Programs: Launch in 2–3 flagship programs, iterate based on real case data and user feedback, then extend to all social programs
Institutionalize and Improve
- Operational Ownership: Transfer full management of the GRM to a designated institutional home (e.g., an inter-ministerial GRM unit or ombudsman's office) with clear mandates and staffing
- Performance Dashboards: Deploy real-time dashboards showing complaint volumes, resolution rates, SLA compliance, top complaint categories, and geographic hotspots, visible to management and oversight bodies
- Feedback-to-Policy Loop: Establish quarterly reviews where aggregated GRM data informs program design adjustments, operational improvements, and policy corrections, turning complaints into intelligence
- Accountability and Transparency: Publish periodic GRM performance reports, fostering public trust and holding agencies accountable for responsiveness
- Continuous Channel Optimization: Monitor channel usage patterns and accessibility barriers, adjusting and adding channels as needed to reach underserved populations
Expected Impact
Integrated Aged Care and Long-Term Care Digital Platform
The Challenge
A country's older population is growing rapidly, but the systems meant to serve them remain fragmented. Health services, social care, pension administration, disability support, and community assistance each operate through separate agencies with disconnected registries, incompatible eligibility criteria, and no shared view of an older person's needs or circumstances. An elderly citizen managing chronic conditions, needing home-based support, and receiving a pension interacts with three or more institutions that know nothing about each other. Families and informal caregivers navigate a maze of offices with no single point of entry. Care needs assessments are inconsistent across providers, care plans are not coordinated, and there is no mechanism to monitor service quality or detect abuse and neglect in institutional or home-based settings.
The government wants to build an Integrated Aged Care and Long-Term Care Digital Platform that unifies health services, social care, pension systems, and community support for older persons into a single coordinated ecosystem. The platform should enable standardized needs assessment; integrated care planning across health and social services; coordinated service delivery spanning institutional care, home-based support, and community programs; caregiver registration and support; quality monitoring and safeguarding; and a single entry point through which older persons and their families can access the full range of services available to them.
Policy and System Architecture
- Aged Care Policy Framework: Define the national policy for integrated aged care covering eligibility criteria, service entitlements, quality standards, rights and safeguards for older persons, roles and responsibilities across health, social protection, and community services ministries, and the governance structure for cross-agency coordination
- Standardized Needs Assessment Model: Design a comprehensive, multi-dimensional assessment instrument that evaluates an older person's functional capacity, health status, cognitive condition, social support network, housing situation, and financial circumstances, producing a holistic profile that drives care planning across all service providers
- Integrated Care Planning Architecture: Define how health services (primary care, specialist referrals, medication management, rehabilitation), social care (home help, personal care, meals, transport), income support (pension, allowances), and community programs (day centers, social activities, respite care) are woven into a single, coordinated care plan for each individual
- Caregiver Registry and Support Framework: Design the registration, screening, training, and support structures for both formal care workers and informal family caregivers, including respite services, caregiver allowances, and digital tools for care coordination between professional and family providers
- Quality Monitoring and Safeguarding: Establish the framework for monitoring service quality across institutional and home-based settings, including inspection protocols, outcome indicators, complaint mechanisms, and safeguarding procedures for detecting and responding to abuse, neglect, and exploitation of older persons
- Data Architecture and Interoperability: Design the shared data model and integration layer connecting the aged care platform with health information systems (electronic health records, hospital systems, pharmacy records), social protection registries (pension, disability, social assistance), civil registration, and national identification infrastructure
Build, Connect, and Launch
- Aged Care Client Registry: Implement a unified registry of older persons receiving or eligible for care services, linked to national identification and health records, capturing assessment results, care plans, service history, and provider assignments in a single longitudinal record accessible to all authorized service providers
- Assessment and Care Planning Module: Deploy digital tools for conducting standardized needs assessments in the home, facility, or community setting, automatically generating care plan recommendations based on assessed needs, and enabling care coordinators to assemble and manage individualized service packages across multiple providers
- Service Coordination and Case Management: Build the cross-agency case management platform that allows care coordinators, health professionals, social workers, and community service providers to share information, schedule services, track delivery, manage transitions (between home, hospital, and residential care), and communicate with families through a single interface
- Provider Management and Quality Assurance: Implement provider registration, accreditation, contract management, inspection scheduling, and outcome reporting for residential care facilities, home care agencies, and community service organizations, with dashboards that surface quality indicators and flag facilities requiring intervention
- Family and Caregiver Portal: Launch a portal and mobile application through which older persons and their families can view care plans, request services, communicate with care teams, access information about entitlements and available programs, submit feedback, and manage caregiver coordination
Institutionalize and Evolve
- Platform Governance and Operations: Establish a dedicated platform management function with clear accountability for system uptime, data quality, user support, onboarding of new providers, and coordination of change requests across the health, social care, and community service agencies that use the platform
- Continuous Quality Improvement: Embed routine quality monitoring cycles where inspection findings, client outcomes, complaint data, and satisfaction surveys drive improvements in service standards, provider accountability, and care protocols across both institutional and home-based settings
- Interoperability Maintenance: Maintain and evolve the platform's connections to adjacent systems (health information exchange, pension administration, social protection registries) as those systems change, ensuring that the integrated care record remains current and complete without manual re-entry
- User Feedback and Service Adaptation: Collect and act on feedback from older persons, families, care coordinators, and service providers through structured channels built into the platform, using usage patterns and satisfaction data to prioritize interface improvements, workflow refinements, and new feature development
- Adaptive Service Expansion: Maintain the platform's ability to incorporate new service models (telehealth for older persons, assistive technology programs, dementia-specific care pathways, palliative care coordination) as the aged care system matures and population needs evolve
Expected Impact
National Aging Population Strategy and Service Delivery System
The Challenge
A country is undergoing a rapid demographic transition. The share of the population aged 60 and over is projected to double within two decades, yet the policy and institutional infrastructure was designed for a younger population. Pension systems face sustainability pressures as the ratio of contributors to beneficiaries declines. The health system is oriented toward acute and maternal care, not the chronic disease management, rehabilitation, and palliative care that aging populations require. There is no national care workforce strategy, no projections of how many geriatricians, nurses, and home care workers will be needed, and no training pipeline to produce them. Housing, transport, and public spaces are not adapted for reduced mobility. Social isolation among older persons is widespread but unmeasured. No single ministry owns the aging agenda, and no integrated data infrastructure connects the demographic, health, social, economic, and spatial dimensions of population aging.
The government wants to develop a National Aging Population Strategy and Service Delivery System that prepares the country for its demographic future. The strategy should encompass pension sustainability and reform planning; health system reorientation toward chronic and long-term care; care workforce projection, recruitment, and training; age-friendly housing and urban design; social inclusion and participation programs; and an integrated data and monitoring platform that tracks aging indicators across all these dimensions, enabling evidence-based policy, coordinated investment, and accountable delivery.
Strategy and System Architecture
- Demographic Analysis and Projection: Conduct a comprehensive demographic analysis covering population aging trajectories by region, dependency ratios, life expectancy trends, healthy life expectancy, disability prevalence, and household composition changes, producing the evidence base that anchors the entire strategy and quantifies the scale and timing of the challenge
- Pension Sustainability and Reform Framework: Assess the fiscal sustainability of current pension arrangements under demographic projections, model reform scenarios (contribution adjustments, retirement age, benefit indexation, non-contributory pensions, savings incentives), and design a transition pathway that balances fiscal sustainability with adequate income protection for older persons
- Health System Reorientation: Design the shift from acute-focused care toward integrated chronic disease management, geriatric services, rehabilitation, mental health support for older persons, and palliative care, including service delivery models, facility requirements, clinical protocols, and the integration of aged care into primary health care
- Care Workforce Strategy: Project the demand for aged care workers (geriatricians, nurses, physiotherapists, home care assistants, social workers, care coordinators) against current supply, design recruitment and training pipelines, define competency standards and career pathways, and plan for retention incentives in a sector that competes for labor
- Age-Friendly Infrastructure and Inclusion: Define standards and investment priorities for age-friendly housing (accessibility modifications, assisted living, residential care capacity), urban design (walkability, public transport accessibility, public space amenities), and social inclusion programs (community centers, intergenerational activities, digital literacy, anti-isolation interventions)
- Integrated Aging Data Platform: Design the monitoring and intelligence infrastructure that connects demographic data, pension administration, health system utilization, aged care service records, social participation indicators, housing and infrastructure inventories, and workforce statistics into a unified dashboard that tracks aging readiness across all dimensions
Build, Reform, and Launch
- Aging Data Platform: Build the integrated monitoring platform that ingests data from pension systems, health records, aged care registries, census and survey sources, workforce databases, and infrastructure inventories, producing cross-dimensional dashboards and analytical products for policymakers, planners, and researchers
- Pension Reform Implementation Support: Provide the analytical tools, actuarial modeling capabilities, communication strategies, and transition management support needed to implement agreed pension reforms, including impact simulations, beneficiary communication, and monitoring of reform effects on coverage, adequacy, and fiscal sustainability
- Health Service Reorientation Pilots: Launch integrated chronic care and geriatric service models in selected districts, testing new clinical protocols, referral pathways between primary care and specialist geriatric services, community-based rehabilitation programs, and palliative care delivery, then evaluating outcomes before national scale-up
- Care Workforce Development Pipeline: Establish training programs for priority care worker categories in partnership with educational institutions, deploy competency assessment and certification tools, and launch recruitment campaigns targeting population segments with potential for aged care careers
- Age-Friendly Community Pilots: Implement age-friendly design standards in selected municipalities covering housing accessibility retrofits, public transport adaptations, community center programs, and social isolation screening and response, generating replicable models and cost-effectiveness evidence for national rollout
Institutionalize and Adapt
- Cross-Ministerial Governance: Establish a permanent inter-ministerial body (or national aging commission) with the mandate to coordinate aging policy across health, social protection, labor, housing, transport, and finance ministries, ensuring the strategy remains a whole-of-government priority rather than a single ministry's initiative
- Regular Strategy Review and Update: Institutionalize periodic reviews (every three to five years) of the national aging strategy against updated demographic projections, service utilization trends, fiscal conditions, and international evidence, adjusting targets, investments, and reform timelines accordingly
- Outcome Monitoring and Accountability: Use the aging data platform to track progress against strategy targets (pension coverage and adequacy, health service access and quality for older persons, care workforce adequacy, age-friendly infrastructure coverage, social participation rates) and publish regular public reports to ensure transparency and accountability
- Fiscal Sustainability Tracking: Continuously monitor the fiscal trajectory of pension, health, and aged care expenditures against projections, flagging deviations early and informing timely adjustments to financing strategies, benefit parameters, and investment priorities
- Adaptive Policy Development: Maintain the capacity to respond to emerging challenges (new evidence on dementia care, shifts in migration patterns affecting the care workforce, technological innovations such as assistive robotics, changes in family structures and informal care availability) by updating policies, standards, and service models through the established governance framework
Expected Impact
Labor
Employment services, labor market information systems, skills anticipation, and integrated service delivery
AI-Assisted Employment Connect Platform
The Challenge
A country with high youth unemployment and a growing informal sector struggles to connect job seekers with employers. Public employment services are paper-based, concentrated in urban centers, and disconnected from actual labor market demand. Employers, especially small and medium enterprises, cannot find workers with the right skills. Job seekers, particularly women, rural youth, and persons with disabilities, lack information about opportunities and face barriers in navigating the labor market.
The government wants a low-cost, AI-assisted digital platform that connects job seekers with employers, provides skills-matching and career guidance, links to training programs, and generates labor market intelligence, all accessible via basic smartphones and low-bandwidth environments.
Platform and Service Design
- Labor Market Assessment: Map the demand and supply landscape: sectors with job growth, skill gaps, geographic mismatches, and barriers faced by different population groups, to inform platform features and matching logic
- Service Model Design: Design the end-to-end user journey for both job seekers (registration, profiling, matching, application, follow-up) and employers (posting, screening, shortlisting, feedback) with offline-capable flows
- AI Matching Framework: Define the skills taxonomy, matching algorithms, and recommendation logic, including ethical guardrails to prevent algorithmic bias against gender, age, disability, or location
- Referral Pathways: Design integration with training providers, social protection programs, and financial inclusion services, so that a job seeker who lacks required skills gets referred to upskilling, not just rejected
- Accessibility and Inclusion by Design: Ensure the platform works on basic devices, supports local languages and voice-based interaction, and accommodates users with limited digital literacy
- Data Privacy and Responsible AI Framework: Define consent protocols, data minimization principles, algorithmic transparency standards, and human-in-the-loop review for AI-generated recommendations
Build, Connect, and Launch
- Platform Development: Build a lightweight, mobile-first platform using open-source frameworks, optimized for low bandwidth, offline-first data entry, and progressive loading on basic smartphones
- AI Matching Engine: Develop and train the skills-matching engine using local labor market data, with continuous learning from successful placements and user feedback
- Employer Onboarding: Engage priority sectors and employer associations, streamline job posting workflows, and demonstrate value through early quick wins in high-demand occupations
- Frontline Channel Network: Train public employment service officers, community facilitators, and partner NGOs to assist job seekers with registration, profiling, and platform navigation
- Integration with Existing Systems: Connect with national skills registries, TVET institutions, social protection databases, and payment systems for training stipends or transport subsidies
- Pilot and Iterate: Launch in selected regions with diverse labor markets, collect usage data and placement outcomes, iterate on matching algorithms and user experience
Scale and Sustain
- Government Ownership: Transfer platform operations to the public employment service agency, with trained staff managing content moderation, employer verification, and user support
- Sustainability Model: Design a cost-recovery model, potentially including employer premium listings, training provider partnerships, and development partner co-financing, to ensure long-term viability without heavy government subsidy
- Labor Market Intelligence: Use aggregated platform data to generate quarterly labor market reports, informing education planning, training investments, migration policy, and economic development strategies
- Continuous Algorithm Improvement: Establish processes for regular bias audits, matching accuracy reviews, and algorithm updates based on placement outcomes and user satisfaction data
- Network Effects and Growth: Expand employer base, add sector-specific features (agriculture, gig economy, domestic work), and introduce peer mentoring and career guidance functionalities
Expected Impact
National Labor Market Information and Service Platform
The Challenge
A country's public employment services are paper-based, concentrated in urban centers, and disconnected from actual labor market demand. Job seekers, employers, training providers, and policymakers each operate in silos. Existing labor market data is scattered across surveys, registries, and administrative systems that do not talk to each other. The country produces labor statistics, but lacks information that is simultaneously accurate, current, and actionable for service delivery. There is no unified view of who is looking for work, what skills employers need, which training programs produce results, or how income support and activation services connect.
The government wants to build a national Labor Market Information System (LMIS): not a static data portal, but an integrated service delivery and intelligence platform. The LMIS should serve job seekers with matching, career guidance, and program referrals; employers with vacancy management and recruitment support; practitioners with case management and payment workflows; and policymakers with dashboards, forecasts, and evaluation tools. It must connect employment services, income support, skills development, and labor regulation into one coherent ecosystem, accessible through digital and in-person channels.
Policy and System Architecture
- LMIS Framework and Strategy: Develop a comprehensive LMIS framework that goes beyond static portals, defining the system as a dual-purpose platform: an Employment Services Delivery Platform for frontline operations and a Labor Market Information and Intelligence Platform for analytics, forecasting, and evidence-based policy
- Stakeholder and Governance Mapping: Map the six interdependent stakeholder groups (individuals and workers; employers and market actors; education and skills institutions; government agencies; knowledge and oversight bodies; technology and data infrastructure) and define their roles in data production, intermediation, and use
- Policy and Service Delivery Architecture: Organize labor market objectives into four policy pillars: Employment Services and Programs, Income Support and Complementary Services, Labor Market Intelligence, and Labor Regulation, Compliance and Standards; anchoring LMIS requirements in policy intent before turning to system design
- IT Functions Design: Define five functional pillars (Service Delivery and Case Management; Client Engagement and Access; Governance, Oversight and Accountability; Integrated Programs and Ecosystem Services; and Data, Intelligence and Analytics) specifying what the LMIS does for people, firms, and institutions
- Interoperability Architecture: Design the integration layer connecting the LMIS to national identity systems, social protection, tax, education, civil registration, and payment systems through open standards, shared taxonomies, and documented APIs
- Data Protection and Ethical AI Framework: Define consent protocols, data-sharing agreements, privacy safeguards, and responsible AI governance including bias monitoring, explainability requirements, and human-in-the-loop review for algorithmic decisions
Build, Connect, and Launch
- Employment Services Delivery Platform: Build the operational core: client and employer registries, case management, profiling and employability assessment, job matching and vacancy management, program administration for active labor market programs and income support, payment processing, and grievance handling
- Omnichannel Client Access: Deploy user-facing channels (web portals, mobile applications, contact centers, SMS, chatbots, and assisted in-person services) ensuring accessibility for rural populations, persons with disabilities, and users with limited digital literacy
- Labor Market Intelligence Platform: Implement the analytics backbone: data integration from administrative records, surveys, and real-time signals such as online vacancies; dashboards and reporting; skills forecasting and scenario modeling; early warning systems for labor market shocks; and AI-enabled services for matching, profiling, and decision support
- Ecosystem Integration: Connect the LMIS to external systems through an API gateway and interoperability layer, enabling automated eligibility verification, payment settlement, digital signatures, referrals across institutions, and coordinated program delivery with training providers, social protection agencies, and employer associations
- Capability Development and Change Management: Deliver structured onboarding and continuous training for caseworkers, program managers, analysts, partner institutions, and call center staff, supported by e-learning environments, sandbox systems, playbooks, and standard operating procedures
Institutionalize and Evolve
- Institutional Ownership and Governance: Establish clear ownership with the labor ministry as policy owner, the public employment service as delivery authority, and a dedicated labor market analytics unit as data steward, with shared cross-cutting capabilities governed under whole-of-government digital structures
- Policy Agility and Configurability: Ensure the platform can absorb policy changes (new eligibility rules, benefit rates, program designs, crisis-response protocols) through configurable workflows and parameterized rules, without rewriting code
- Continuous Improvement and Evidence Loops: Embed monitoring, evaluation, and learning cycles that feed program performance data, user feedback, and impact evaluations back into policy design, provider management, and frontline service delivery
- Scalability and Resilience: Maintain technical and operational readiness to handle demand surges from economic shocks, mass layoffs, or new program launches, with failover design, load scaling, fallback channels, and tested surge playbooks
- Cross-Cutting Quality Assurance: Continuously measure system maturity against ten qualities (inclusion and accessibility; trust and transparency; data protection; interoperability; policy agility; scalability; service continuity; data quality; security; and evidence orientation) ensuring the platform earns and retains institutional and public legitimacy
Expected Impact
National Skills Anticipation and Workforce Planning System
The Challenge
A country's education and training system operates largely in isolation from its labor market. Universities and technical and vocational education and training (TVET) institutions design curricula based on tradition and available capacity rather than employer demand. There is no national skills taxonomy or occupational classification that bridges learning outcomes with workplace requirements. Graduates enter the labor market only to discover that their qualifications do not match what employers are looking for, while firms report persistent shortages in critical occupations. No feedback loop exists between employment outcomes and training relevance, and no forecasting capability helps the country anticipate which skills will be needed in five or ten years.
The government wants to build a National Skills Anticipation and Workforce Planning System that continuously aligns education, training, and labor market demand. The system should provide a shared skills language across institutions; track what happens to graduates after they complete their programs; generate forward-looking intelligence on emerging occupations and declining sectors; and create actionable feedback that shapes training investment, curriculum design, and career guidance at every level.
Policy and System Architecture
- Skills Taxonomy and Occupational Framework: Develop a national occupational classification and skills taxonomy that provides a shared language across education, employment services, and employers, mapping qualifications to occupations and linking learning outcomes to workplace competencies
- Sector Skills Governance: Design the institutional architecture for sector skills bodies (councils, committees, or observatories) that bring together employers, training providers, and government to articulate demand, validate occupational standards, and inform training priorities at the sector level
- Graduate Tracking Architecture: Define the data model, consent framework, and institutional agreements needed to follow graduates from training completion into employment, self-employment, or further education, linking records across education, tax, social security, and employment services systems
- Skills Forecasting and Scenario Modeling: Design the analytical framework for medium and long-term skills projections, combining macroeconomic modeling, sectoral analysis, demographic trends, and technology adoption scenarios to anticipate future workforce needs
- Training Quality Assurance Framework: Establish accreditation standards, outcome-based performance metrics, and provider accountability mechanisms that tie training provider funding and licensing to employment outcomes and employer satisfaction
- Data Integration and Interoperability: Design the data exchange architecture connecting education management information systems, qualification registries, labor market information systems, employer surveys, and social security records through shared standards and secure APIs
Build, Connect, and Launch
- Skills Information Platform: Build a central platform that hosts the national skills taxonomy, occupational profiles, qualification mappings, and labor market signals, accessible to training providers for curriculum design, to career counselors for guidance, and to policymakers for investment decisions
- Graduate Tracking System: Implement the tracking infrastructure that links education completion records with employment and earnings data from administrative sources (tax, social security, employment services) to measure training relevance, time to first employment, earnings progression, and sector of employment
- Sector Skills Councils: Establish and operationalize sector skills bodies in priority sectors, equipping them with data tools, employer survey instruments, and facilitation support to produce annual skills needs assessments and occupational standards reviews
- Forecasting and Modeling Tools: Deploy analytical tools for skills foresight, including scenario modeling dashboards, occupation demand projections, and early warning indicators for sectors facing structural change due to automation, trade shifts, or demographic transitions
- Training Provider Portal and Feedback Loop: Launch a provider-facing interface that delivers graduate outcome data, employer satisfaction scores, and labor market demand signals back to training institutions, enabling evidence-based curriculum adjustment and program development
Institutionalize and Evolve
- Institutional Governance: Anchor the system within a designated institutional home (a skills agency, workforce planning directorate, or inter-ministerial coordination body) with clear mandates, sustainable funding, and accountability for keeping the skills intelligence cycle operational
- Continuous Taxonomy Maintenance: Establish governance processes for regularly updating the occupational classification and skills taxonomy as new occupations emerge, existing ones evolve, and industry requirements shift, ensuring the shared language stays current and credible
- Evidence-Based Training Investment: Institutionalize the use of graduate tracking data, employer feedback, and skills forecasts in budget allocation, training provider contracting, and scholarship decisions, replacing supply-driven funding with demand-informed investment
- Feedback Loop Institutionalization: Embed annual review cycles where graduate outcomes, skills gap analyses, and sector assessments feed directly into curriculum revision, provider accreditation, and career guidance materials across the education and training system
- Stakeholder Engagement and Dissemination: Publish regular skills anticipation reports, sector briefs, and career outlook products for employers, students, parents, training providers, and policymakers, building a culture of evidence-informed workforce planning across the economy
Expected Impact
Integrated Employment and Social Protection Delivery
The Challenge
A country operates its employment services and social protection programs as parallel systems. Cash transfer beneficiaries receive monthly payments but no referrals to jobs, training, or activation support. Public employment services register job seekers but have no visibility into who is receiving social assistance or what barriers they face. Each system maintains its own registry, eligibility criteria, and delivery channels. Beneficiaries navigate multiple offices, provide the same documentation repeatedly, and fall through the gaps between agencies. The result is passive dependency on one side and underutilized employment services on the other, with no coordinated pathway from protection to productive inclusion.
The government wants to build an integrated employment and social protection delivery system that connects income support with activation, skills development, and employment services into a single coordinated journey. The goal is to ensure that every working-age beneficiary of social assistance receives not only financial support, but also a tailored pathway toward economic participation: job matching, skills referrals, entrepreneurship support, or other productive inclusion measures appropriate to their circumstances and capabilities.
Policy and Service Architecture
- Integrated Service Delivery Model: Design a joint service model that defines how social protection agencies and public employment services collaborate at every stage of the beneficiary journey: intake, profiling, referral, activation, follow-up, and graduation, with clear responsibilities and handoff protocols for each institution
- Joint Eligibility and Referral Framework: Harmonize eligibility criteria and develop cross-program referral rules that automatically identify working-age social assistance beneficiaries eligible for employment services, training programs, or entrepreneurship support, and route them to the appropriate activation pathway
- Coordinated Case Management Architecture: Design a shared case management approach where social workers and employment counselors co-manage beneficiary journeys, with joint action plans, shared milestones, and coordinated conditionality that avoids conflicting obligations or duplicated requirements
- Shared Registry and Data Exchange: Define the data architecture for a unified or interoperable client registry that gives both systems a common view of beneficiary status, service history, employment outcomes, and program participation, with appropriate privacy safeguards and consent management
- Graduation Pathways Design: Develop evidence-based graduation criteria and transition protocols that define when and how beneficiaries move from full social assistance through partial support to self-sufficiency, with safeguards against premature exit and mechanisms for re-entry if circumstances change
- Institutional Coordination Mechanisms: Establish the governance arrangements (joint steering committees, shared performance frameworks, co-financing models) needed to sustain collaboration between ministries and agencies with different mandates, budgets, and reporting lines
Build, Connect, and Launch
- Unified Client Registry: Implement an interoperable registry layer that links social protection beneficiary records with employment services registrations, enabling both systems to see the same client profile, service history, and activation status without requiring beneficiaries to re-register
- Cross-Agency Case Management Platform: Deploy a shared digital workspace where social workers and employment counselors jointly manage beneficiary cases, create coordinated action plans, track progress against shared milestones, and document referrals and outcomes across institutional boundaries
- Referral and Activation Workflows: Build automated referral workflows that trigger when working-age beneficiaries enter the social protection system, routing them to profiling, employability assessments, job matching, skills training, or entrepreneurship programs based on their profile and local labor market conditions
- Joint Service Points: Establish co-located or digitally connected service delivery points where beneficiaries can access both social protection and employment services in a single visit, reducing administrative burden and improving the coherence of the support they receive
- Frontline Capability Building: Train social workers on employment and activation concepts, and employment counselors on vulnerability and social protection dynamics, so that both workforces can identify opportunities for cross-referral and support beneficiaries holistically
Institutionalize and Evolve
- Joint Governance and Accountability: Embed the integrated delivery model into the institutional fabric of both systems through formalized cooperation agreements, shared performance indicators, joint budget lines, and regular coordination meetings at national and subnational levels
- Cross-System Performance Monitoring: Deploy dashboards that track the full beneficiary journey across both systems: referral rates, activation take-up, program completion, employment outcomes, earnings progression, and graduation rates, visible to leadership in both the social protection and employment agencies
- Evidence-Based Graduation Tracking: Monitor graduation outcomes longitudinally to determine whether beneficiaries who exit social assistance sustain their economic participation, and identify which combinations of services (income support, training, job placement, entrepreneurship) produce the most durable results
- Institutional Embedding: Ensure integrated delivery becomes the standard operating model rather than a pilot or project, by incorporating cross-referral obligations into agency mandates, staff job descriptions, and performance evaluations on both sides
- Continuous Pathway Optimization: Use outcome data and beneficiary feedback to refine graduation thresholds, improve referral targeting, adjust the sequencing of interventions, and expand the range of productive inclusion pathways based on what works for different population groups
Expected Impact
Health
Enterprise architecture, health information exchange, community health, disease surveillance, and supply chain management
Nation-wide Digital Health Enterprise Architecture
The Challenge
Over the past decade, a country invested in various digital health systems: a database for citizens receiving medical services across primary, secondary, and tertiary levels, a Pharmaceutical Inventory Management System, a Health Professionals registry, licensing of private health institutions, communicable diseases and vaccination registries, a health insurance MIS, and specialized systems such as a Drinking Water Quality Database. However, most systems are incompatible with each other and cover limited domains. Two attempts to introduce an integrated system to eliminate fragmentation failed at significant cost.
The Ministry of Health wants to revise its digital health development approach and rethink the national architecture. Instead of pursuing yet another monolithic system that tries to cover everything, the government is looking for an integrated digital health ecosystem: a set of foundational and strategic building blocks that together create the digitized health data environment needed to support health service delivery and evidence-based decision-making across the entire health system.
Policy and System Architecture
- Policy Framework: Commission a comprehensive feasibility study to define the national digital health enterprise architecture, covering responsibilities, authority, and incentives for policy-making, regulation, standardization, health information analytics, clinical data management, and systems deployment
- Governance Framework: Establish a digital health governance framework with clear definition of responsibilities for governance, regulation, standardization, data quality management, and solution implementation across all levels of the health system
- Capacity Assessment: Assess and plan for strengthening the capacity of health and information technology specialists required to design, implement, and sustain the enterprise architecture
- Costing and Budget Alignment: Transform the feasibility study into a costed investment plan, defining funding sources for each component and recommending changes to the legal framework to ensure sustainable financing of digital health development and operations
Build Readiness and Test
- Digital Health Blueprint: Transform the feasibility study findings into a national Digital Health Strategy and Action Plan, then operationalize it into an implementable digital health blueprint, a buildable, conformance-testable, standards-based digital health infrastructure that enables person-centric, guideline-adherent care at national scale
- Standards and Regulations: Define national compulsory digital health standards and regulations, ensuring interoperability across all current and future systems within the ecosystem
- Foundational Building Blocks: Implement the foundational layer: legal and regulatory environment, master data management, health information exchange, and cross-cutting capacity building to underpin all strategic systems
- Strategic Systems Deployment: Deploy core clinical and administrative systems: central electronic health record, central e-prescription and e-referral services, hospital information systems, laboratory and radiology systems, pharmaceutical stock management, blood transfusion MIS, and patient portal
- Capacity Development, Training, and Change Enablement: Facilitate the establishment of new institutional arrangements to support systemic digital health development: policy and regulatory units, operational management, data management, and grassroots-level operations. Strengthen the capacity of health and information technology specialists required to design, implement, and sustain the enterprise architecture
- Capability Development: Set up initial operational support and capacity building for newly established units, ensuring government teams can manage day-to-day operations from the outset
Institutionalize and Learn
- Institutional Ownership: Anchor sustainability in the program structure itself: an adopted strategy, dedicated institutional capacity, and ring-fenced budget make the digital transformation less vulnerable to political changes and other disruptions
- Organizational Capacity: Shape new institutions and organizational units to manage the transformation, including costing exercises to define realistic budgets for ongoing operations and evolution
- Operational Excellence: Embed delivery processes into the institutional fabric: formalize SOPs, service standards, governance cadences, and quality assurance routines so that operations continue reliably without external support
- Health System Transformation: Ensure the program remains focused on its ultimate objective: not digitalization for its own sake, but the transformation of healthcare delivery, with digital infrastructure serving clinical outcomes
- Continuous Monitoring: Leverage improved information systems to record and share essential health information at patient and facility levels, enabling real-time monitoring and measurement of health system performance
Expected Impact
National Health Information Exchange and Interoperability Platform
The Challenge
A country's health facilities each operate their own clinical and administrative systems. A patient visiting a primary health center, then referred to a district hospital, and later collecting medicines at a pharmacy is treated as three different people in three different databases. Laboratory results cannot be retrieved by the referring clinician. Immunization records from one region are invisible in another. Public health authorities compile surveillance data through manual reporting chains that introduce weeks of delay. Every attempt to connect systems has produced point-to-point integrations that are expensive to maintain, brittle under change, and impossible to scale.
The government wants to establish a National Health Information Exchange (HIE): a standards-based interoperability platform that enables patient data to flow securely across providers, facilities, and levels of care. The HIE should allow any authorized clinician to access a patient's relevant medical history at the point of care; enable laboratories, pharmacies, and diagnostic centers to share results electronically; feed aggregated, de-identified data to public health surveillance and policy planning; and do so through a shared infrastructure that any compliant system can connect to, rather than requiring every facility to adopt the same software.
Policy and Architecture
- HIE Governance and Policy Framework: Define the legal, regulatory, and institutional basis for health data exchange, including data-sharing agreements between public and private facilities, patient consent models, data ownership rules, and the mandate and authority of the entity responsible for operating the national HIE
- Interoperability Standards: Adopt and localize international health data standards (HL7 FHIR, ICD, SNOMED CT, LOINC) for clinical messaging, terminology, and data structures, ensuring that disparate systems can exchange information in a common language without requiring replacement of existing software
- Master Patient Index Architecture: Design a national master patient index that uniquely identifies individuals across facilities and systems, using probabilistic and deterministic matching algorithms linked to national identification infrastructure where available, with safeguards for populations without formal ID
- Shared Health Record Model: Define the minimum dataset that the HIE should make available at the point of care: patient demographics, allergies, active medications, laboratory results, immunization history, diagnoses, referral summaries, and discharge notes, structured to support clinical decision-making without overwhelming clinicians
- Privacy, Security, and Consent Architecture: Design the technical and policy framework for patient consent management, role-based access controls, audit logging of every data access event, breach notification protocols, and compliance with national data protection legislation and international health data privacy standards
- Sustainability and Financing Model: Develop the long-term financing strategy for the HIE, including cost-sharing arrangements among participating facilities, government budget allocations, and fee structures for value-added services such as analytics and reporting
Build, Connect, and Launch
- HIE Core Infrastructure: Deploy the central interoperability platform: message routing and transformation services, API gateway, master patient index, provider and facility registries, terminology services, and the shared clinical data repository, built on open standards and open-source foundations where feasible
- Facility Onboarding and Integration: Connect priority facilities (referral hospitals, district hospitals, high-volume primary care centers, national laboratories) to the HIE through standardized adapters and integration toolkits, working with each facility's existing system to establish compliant data exchange
- Clinical Workflows and Point-of-Care Access: Implement clinician-facing interfaces that surface relevant patient information from the HIE within existing workflows: referral summaries on admission, laboratory results on request, medication histories during prescribing, and immunization records during child health visits
- Public Health Data Pipeline: Build aggregation and de-identification services that transform individual clinical transactions into public health intelligence: disease surveillance feeds, notifiable condition alerts, immunization coverage dashboards, and population health indicators, delivered to epidemiologists and policy planners
- Pilot, Validate, and Scale: Launch the HIE in a defined geographic area or referral network, validate data quality, clinical utility, and system performance with real users in real workflows, then extend connectivity facility by facility based on lessons learned and demonstrated value
Institutionalize and Evolve
- Operational Governance: Establish the HIE operating entity with clear institutional mandates, technical capacity, and accountability for uptime, data quality, onboarding new facilities, enforcing compliance, and managing the evolution of standards and services
- Continuous Facility Onboarding: Maintain a permanent onboarding program with integration toolkits, technical assistance, and certification processes that enable new facilities and systems to connect to the HIE as the network expands across the country
- Data Quality and Compliance Monitoring: Implement automated monitoring of data completeness, timeliness, and standards compliance across connected facilities, with feedback mechanisms that help facilities improve their data practices and maintain interoperability over time
- Standards Evolution: Participate in national and international standards development processes, continuously update the HIE's technical specifications as health data standards evolve, and manage version transitions without disrupting connected facilities
- Value Realization and Network Growth: Demonstrate and communicate the clinical, operational, and public health value of the HIE to drive voluntary adoption by private providers, specialists, and pharmacies, growing the network through demonstrated utility rather than mandate alone
Expected Impact
Community Health Worker Digital Ecosystem
The Challenge
A country relies heavily on community health workers (CHWs) to deliver primary care, health promotion, and disease prevention in rural and underserved areas. These frontline workers conduct household visits, register pregnancies, track child immunizations, screen for malnutrition, distribute medicines, and refer patients to health facilities. Yet they operate almost entirely on paper: registration forms, tally sheets, referral slips, and monthly summary reports that arrive late, contain errors, and disappear into filing cabinets. Supervisors cannot see what is happening in the field in real time. Supply chains break because consumption data is unreliable. Referrals get lost between the community and the facility. National planners have no accurate picture of community-level health coverage or service quality.
The government wants to build a Community Health Worker Digital Ecosystem that equips CHWs with mobile tools for household registration, patient screening, care protocols, referral management, and supply requests; connects their field data in real time to facility records, supervisory dashboards, and supply chain systems; and strengthens supervision, performance management, and continuous learning, turning the community health workforce into a digitally connected extension of the national health system.
Policy and System Architecture
- CHW Service Package and Digital Workflows: Define the complete CHW service package (household registration, maternal and child health tracking, immunization follow-up, disease screening, health education, referral, and commodity distribution) and translate each service into structured digital workflows with decision-support logic and clinical protocols
- Data Architecture and Integration: Design how CHW field data connects to facility-level electronic health records, the national health information exchange, supply chain management systems, and the EMIS or HMIS, ensuring that community-level data feeds into and draws from the broader health information ecosystem
- Supervision and Performance Framework: Design a supervisory model supported by digital dashboards that give supervisors real-time visibility into CHW activity (visits completed, referrals made, follow-ups due, coverage gaps) and performance indicators, replacing retrospective paper-based reviews with proactive, data-driven coaching
- Offline-First Platform Requirements: Specify technical requirements for environments with limited or no connectivity: offline data entry with intelligent synchronization, lightweight application design for low-cost devices, long battery life optimization, and graceful degradation when network conditions are poor
- Incentive, Motivation, and Retention Design: Incorporate motivational design elements into the digital ecosystem: performance recognition, peer benchmarking, gamified learning modules, streamlined reporting that reduces administrative burden, and transparent tracking of incentive payments where applicable
Build, Equip, and Launch
- CHW Mobile Application: Build a mobile application (optimized for low-cost Android devices) with structured forms for household registration, patient assessment, care protocol checklists, referral generation, commodity stock management, and visit scheduling, designed for use by workers with varying levels of digital literacy
- Referral and Counter-Referral System: Implement a digital referral workflow that generates referral records visible to the receiving facility, triggers follow-up reminders for the CHW, and captures counter-referral information so that continuity of care is maintained between community and facility levels
- Supervisory Dashboard and Field Support Tools: Deploy dashboards for CHW supervisors showing real-time coverage maps, activity summaries, performance indicators, and alert flags for missed visits, overdue referrals, or stockouts, complemented by messaging tools for direct communication with CHWs in the field
- Supply Chain Integration: Connect CHW commodity consumption and stock data to the supply chain management system, enabling automated resupply triggers, demand forecasting based on actual field consumption, and visibility into last-mile stock availability
- Training and Digital Literacy: Deliver cascaded training that combines technical device skills with reinforcement of clinical protocols and data quality practices, supported by in-app guidance, video tutorials, peer support networks, and sandbox environments for practice
Institutionalize and Scale
- Device and Infrastructure Lifecycle: Establish sustainable models for device procurement, replacement, repair, and charging infrastructure, including cost-sharing arrangements and budgetary provisions that prevent the ecosystem from collapsing when initial donor funding ends
- Data-Driven Program Management: Embed CHW data into routine health program management: coverage reviews, campaign planning, outbreak response, and resource allocation, so that community-level intelligence becomes an integral input to district and national health decision-making
- Continuous Learning and Skill Building: Maintain a mobile learning platform that delivers ongoing training content, protocol updates, and refresher modules to CHWs through their devices, reducing dependence on face-to-face training events and keeping the workforce current as guidelines evolve
- Performance Management and Accountability: Institutionalize data-driven performance reviews, supportive supervision routines, and transparent incentive management, creating a culture where digital tools are valued by CHWs as aids to their work rather than resented as surveillance instruments
- National Scale and Interoperability: Extend the ecosystem progressively across all districts while maintaining interoperability with the national health information exchange, ensuring that as coverage grows, community-level data integrates seamlessly into the country's broader digital health architecture
Expected Impact
National Communicable Disease Surveillance and Epidemic Early Warning System
The Challenge
A country found itself at the front line of the Avian Influenza pandemic. To minimize the threat posed to humans by Highly Pathogenic Avian Influenza (HPAI), the country needed to improve surveillance for outbreaks of such diseases, preparation for outbreaks, and control of outbreaks among humans and animals. Country's disease surveillance system relies on weekly paper-based reports that travel from health facilities through district offices to the national level, arriving with delays of weeks to months, which is clearly not adequate as an early warning system. When an outbreak occurs, the response is reactive: by the time aggregated reports reveal a cluster, the disease has already spread beyond the initial focus. There is no integrated early warning system, no real-time situational awareness, and no coordinated digital platform for managing the response across health facilities, laboratories, epidemiologists, and emergency coordination centers. In addition, laboratory confirmation data is disconnected from case reports, and there is no interaction with the animal control and veterinary services which makes it hard to identify zoonotic diseases and their potential to become an outbreak.
The government wants to build a National Communicable Disease Surveillance and Epidemic Early Warning System that relies on computerized surveillance of human and animal communicable diseases (CDs) thus allowing timely response.
Policy and Program Design
- Surveillance Strategy and Legal Framework: Simple case recording related to specific zoonotic CDs would not be effective and efficient (“bunch of computers sitting and waiting for HPAI to appear”). The government decided to introduce comprehensive National Communicable Disease Surveillance and Epidemic Early Warning System that replaces manual reporting with real-time digital case notification; integrates clinical, laboratory, and environmental data into a unified surveillance platform; provides early warning analytics that detect anomalies before they become outbreaks; and supports coordinated response management including case investigation, contact tracing, resource deployment, and public communication, all connected to the broader national health information infrastructure. New national surveillance strategy has been developed covering notifiable conditions, reporting obligations, data-sharing authorities, and the legal mandate for mandatory case notification, ensuring alignment with International Health Regulations and regional frameworks
- Integrated Surveillance Data Model: Design a unified data architecture that links case notifications from health facilities with laboratory confirmation results, epidemiological investigation findings, contact tracing records, and veterinary signals (for zoonotic diseases)
- Early Warning and Alert Architecture: Define the analytical framework for automated anomaly detection: statistical algorithms that compare current case counts against historical baselines by disease, geography (especially physical overlaps of human and animal outbreaks), and time period; threshold-based alert triggers; and escalation rules that notify the appropriate response level
- Response Coordination Framework: Design the digital workflows for outbreak response management: case investigation forms, contact tracing tools, resource deployment tracking, situation reporting templates, decision-support dashboards for incident commanders, and communication protocols for public advisories
- One Health Integration: Plan the data exchange pathways between human health surveillance, animal health (veterinary) surveillance, and environmental monitoring systems to enable early detection of zoonotic threats and coordinated cross-sector response
- Interoperability with Health Information Infrastructure: Define how the surveillance platform connects to the national health information exchange, primary care electronic medical records, laboratory information systems (both human and animal), animal identification and traceability system, and community health worker platforms to receive case data automatically rather than through parallel reporting
Build, Connect, and Activate
- Digital Case Notification System: Deploy facility-level and mobile tools for immediate electronic notification of suspected and confirmed cases of notifiable conditions, replacing paper-based weekly summaries with event-driven, real-time reporting integrated into clinical workflows
- Laboratory Integration: Connect the laboratory information management systems of national and regional reference laboratories to the surveillance platform, enabling automated matching of laboratory confirmation results with clinical case notifications and reducing the turnaround time from sample to actionable intelligence
- Inter-sector integration: Integrate data-sets on human CD cases, animal diseases surveillance data and animal control records
- Early Warning and Situational Awareness Dashboard: Implement the analytics engine and visualization layer that provides epidemiologists and public health officials with real-time disease maps, trend analyses, anomaly alerts, and drill-down capabilities from national overview to individual facility and case level
- Outbreak Response Management Module: Build the digital tools for coordinating active response: case investigation and contact tracing applications (mobile and web), resource and logistics tracking, situation reporting, and incident management dashboards that give response teams a common operating picture
- Training and Simulation Exercises: Train surveillance officers, laboratory staff, epidemiologists, and facility-level reporters on the new system through hands-on workshops complemented by full-scale simulation exercises that test the entire chain from case detection through alert escalation to coordinated response
Institutionalize and Strengthen
- Institutional Ownership and Workforce: The surveillance system has been anchored within the National Centre for Preventive Medicine (NSPM) on human CD cases, animal diseases surveillance of the Central Veterinary Laboratory (CVL) and Animal Identification and Traceability system, maintained by the Animal Registry Bureau
- Routine Surveillance Performance Monitoring: Track system performance indicators (reporting completeness, timeliness, laboratory confirmation rates, alert response times) through automated dashboards, using these metrics to identify weak links, recognize high performers, and drive continuous improvement
- After-Action Reviews and Preparedness Cycles: Institutionalize after-action reviews following every outbreak or simulation exercise, feeding lessons learned into revised protocols, updated response plans, refreshed training materials, and system enhancements in a continuous preparedness improvement cycle
- Adaptive Surveillance Expansion: Maintain the ability to rapidly add new conditions to the surveillance platform (emerging pathogens, antimicrobial resistance patterns, non-communicable disease clusters) through configurable case definitions, investigation forms, and alert rules without rebuilding the system
- Regional and International Connectivity: Establish data-sharing protocols with neighboring countries and international organizations (WHO, regional disease surveillance networks) to enable cross-border early warning, joint investigation of transboundary health threats, and participation in global surveillance initiatives
Expected Impact
Digital Supply Chain and Pharmaceutical Management System
The Challenge
A country's health supply chain operates with minimal visibility beyond the central warehouse. Medicines and supplies are pushed to regions and districts based on historical allocation formulas, not actual consumption or patient need. Health facilities report stock levels on paper forms that arrive weeks late, if at all. Stockouts of essential medicines coexist with expiry and waste of overstocked items at facilities just kilometers apart. Procurement decisions rely on rough estimates because consumption data is unreliable. The pharmaceutical regulatory authority cannot track products from manufacturer through distribution to patient, making it difficult to detect counterfeit medicines, enforce recalls, or ensure cold chain integrity for temperature-sensitive products.
The government wants to build a Digital Supply Chain and Pharmaceutical Management System that provides end-to-end visibility from procurement through central and regional warehouses to the last-mile health facility. The system should enable demand-driven distribution based on real consumption data; automate resupply triggers to prevent stockouts; track product batches, expiry dates, and cold chain conditions throughout the distribution network; support procurement planning with accurate forecasting; and connect supply chain data with clinical and financial systems to improve accountability, reduce waste, and ensure that essential medicines reach patients when and where they are needed.
Policy and System Architecture
- Supply Chain Operating Model: Redesign the distribution model from push-based allocation to demand-driven replenishment, defining how consumption data from facilities triggers resupply, how safety stock levels are calculated by product and facility type, and how redistribution protocols prevent expiry and stockouts across the network
- End-to-End Data Architecture: Design the data model that tracks every product from procurement order through receipt, storage, distribution, and dispensing, capturing batch numbers, expiry dates, storage conditions, and transaction records at each node in the supply chain
- Facility-Level Inventory Management: Define the workflows and tools for health facility staff to record receipts, issues, adjustments, and physical counts digitally, designed for low-resource settings with minimal training requirements and offline capability for facilities without reliable connectivity
- Procurement and Forecasting Framework: Design the analytical framework that uses historical consumption data, disease burden trends, seasonal patterns, and program expansion plans to generate accurate procurement forecasts, aligned with budget cycles and supplier lead times
- Pharmaceutical Traceability and Quality Assurance: Define the product traceability architecture (serialization, barcode or QR code scanning, batch tracking) that enables verification of product authenticity, supports recall management, and provides the regulatory authority with visibility into the distribution chain
- Integration and Interoperability: Plan the connections between the supply chain system and adjacent platforms: electronic health records (linking prescriptions to dispensing), financial management systems (linking procurement to expenditure), the health information exchange (feeding supply data into national dashboards), and laboratory systems (tracking reagent and consumable availability)
Build, Connect, and Launch
- Warehouse Management System: Deploy digital warehouse management at central and regional stores, covering receipt, put-away, picking, packing, dispatch, batch tracking, expiry management, cold chain monitoring, and integration with the national procurement authority's ordering systems
- Facility Inventory and Dispensing Tools: Roll out facility-level digital tools (mobile and web) for stock management and dispensing, enabling health workers to record transactions in real time, view current stock levels, receive low-stock alerts, and submit electronic resupply requests
- Distribution and Logistics Platform: Implement route optimization, shipment tracking, proof-of-delivery confirmation, and fleet management tools that give supply chain managers visibility into where products are at every stage of distribution and enable rapid response to delivery failures
- Analytics and Decision Support: Build dashboards and reporting tools that provide supply chain managers with real-time stock status across all facilities, consumption trend analyses, stockout and overstock alerts, expiry risk flags, and procurement forecast recommendations
- Training and Change Management: Deliver structured training for warehouse staff, facility pharmacists and storekeepers, supply chain managers, and procurement officers, emphasizing both system operation and the new demand-driven processes that the digital tools enable
Institutionalize and Optimize
- Institutional Ownership and Operations: Establish clear ownership of the digital supply chain system within the national medical stores authority or equivalent body, with dedicated IT, analytics, and user support capacity, and sustainable budget lines for system maintenance and evolution
- Data Quality and Accountability: Institutionalize routine data quality reviews, stock count verification protocols, and accountability mechanisms that link facility-level reporting accuracy to resupply priority, creating positive incentives for maintaining reliable inventory records
- Continuous Supply Chain Optimization: Use accumulated consumption, distribution, and wastage data to continuously refine safety stock calculations, redistribution algorithms, procurement forecasts, and distribution routes, progressively reducing both stockouts and expiry across the network
- Regulatory and Traceability Enhancement: Expand product traceability capabilities over time, extending serialization and batch tracking to cover additional product categories, strengthening post-market surveillance, and providing the pharmaceutical regulatory authority with the data infrastructure needed for effective quality assurance
- Emergency and Surge Preparedness: Maintain the ability to rapidly reconfigure distribution priorities, activate emergency supply corridors, and scale up procurement during health emergencies, epidemics, or natural disasters, with pre-configured surge protocols and strategic reserve management built into the system
Expected Impact
Education
Education management, student assessment, learning outcomes, and digital learning ecosystems
National Education Management Information System
The Challenge
A country's education data is scattered across paper registers, disconnected spreadsheets, and siloed ministry databases. Student enrollment is counted once a year through manual census forms that arrive months late and are riddled with inconsistencies. Teacher deployment records do not match payroll, making it impossible to know how many teachers are actually in classrooms. School infrastructure data is outdated, budget allocation relies on historical formulas rather than current need, and no system tracks individual students as they move between schools or from one education level to the next. District and national planners make decisions based on incomplete, stale information.
The government wants to build a National Education Management Information System (EMIS) that provides a unified, real-time view of the entire education system: every student, every teacher, every school, from pre-primary through tertiary. The EMIS should replace manual data collection with continuous digital reporting; enable individual student tracking across schools and levels; connect enrollment, attendance, learning outcomes, teacher records, and infrastructure data into one coherent platform; and deliver actionable intelligence to school principals, district planners, and national policymakers.
Policy and System Architecture
- EMIS Framework and Data Model: Define the comprehensive data architecture covering student records (enrollment, attendance, progression, learning outcomes), teacher records (qualifications, deployment, workload, professional development), school profiles (infrastructure, equipment, resources), and financial data (budgets, expenditures, grants) across all education levels
- Unique Identifier Strategy: Design a unique student identifier and a unique teacher identifier that enable longitudinal tracking across schools, districts, and education levels, linked to national identification systems where available, with appropriate privacy protections for minors
- Institutional Governance and Data Ownership: Define who is responsible for data entry, validation, and use at each level (school, district, regional, national), establish data quality standards and accountability mechanisms, and clarify the roles of the education ministry, subnational authorities, and school administrators
- Reporting and Decision Support Architecture: Design the analytics and reporting layers that transform raw EMIS data into actionable intelligence: school report cards, district performance dashboards, early warning systems for dropout risk, teacher deployment optimization, and resource allocation models
- Integration and Interoperability: Plan the connections between the EMIS and adjacent systems (examination boards, teacher service commissions, payroll, civil registration, social protection, and the national skills and workforce planning system) to eliminate duplicate data entry and enable cross-sector analysis
- Data Protection and Student Privacy: Develop the legal and technical framework for protecting student data, including consent protocols for minors, access controls by role and level, data retention policies, and safeguards against misuse of individual student records
Build, Deploy, and Train
- Core EMIS Platform: Build the central platform with modules for student management, teacher management, school profiles, and financial tracking, designed for low-bandwidth environments with offline data entry capabilities and progressive synchronization
- School-Level Data Entry and Validation: Deploy school-facing tools (web and mobile) that enable principals and administrators to record enrollment, attendance, and learning outcomes on a continuous basis rather than through annual census, with built-in validation rules and data quality checks
- Data Migration and Cleansing: Consolidate existing data from legacy systems, paper records, and parallel databases into the unified EMIS, applying deduplication, identity resolution, and data quality protocols to establish a clean baseline
- Analytics and Dashboard Layer: Implement dashboards and reporting tools for each user level: school principals see their own performance and benchmarks; district planners see coverage gaps and resource needs; national policymakers see system-wide trends, equity indicators, and early warning alerts
- Training and Change Management: Deliver cascaded training from national administrators through district education officers to school-level data entry staff, supported by help desks, user manuals, and sandbox environments for practice, ensuring adoption across thousands of schools
Institutionalize and Evolve
- Institutional Ownership and Staffing: Establish a dedicated EMIS unit within the education ministry with clear mandates, permanent staffing, and sustainable budget lines for system operation, maintenance, and continuous development
- Data Quality Governance: Institutionalize annual data quality audits, automated consistency checks, and feedback loops that flag anomalies (enrollment spikes, attendance patterns, teacher ghost records) and hold data custodians accountable at each level
- Evidence-Based Planning Cycles: Embed EMIS data into the ministry's routine planning, budgeting, and review processes so that resource allocation, teacher deployment, school construction, and program design are driven by current data rather than historical assumptions
- Continuous System Evolution: Establish a product management function that prioritizes feature development based on user feedback, changing policy needs, and emerging requirements (such as integrating early childhood education data or tracking out-of-school children)
- Open Data and Accountability: Publish school report cards and district performance summaries to foster transparency, enable community oversight, and support research, while maintaining strict protections on individual student and teacher records
Expected Impact
National Student Assessment and Learning Outcomes System
The Challenge
A country measures the performance of its education system primarily through input indicators: enrollment rates, pupil-teacher ratios, budget allocations, and infrastructure counts. High-stakes examinations at the end of primary and secondary cycles serve as gatekeepers for progression, but they measure memorization rather than competency and produce results too late to inform teaching practice. There is no systematic way to know what students are actually learning at each grade level, which schools are falling behind, which subjects need curriculum revision, or which teacher development investments are translating into improved classroom outcomes. International assessments reveal worrying learning gaps, but the country lacks the domestic assessment infrastructure to diagnose causes or track improvement.
The government wants to build a National Student Assessment and Learning Outcomes System that shifts the focus from enrollment to learning. The system should provide regular, standardized assessments at key stages; generate diagnostic data at the classroom, school, district, and national levels; link learning outcomes to teaching practices, curriculum coverage, and resource inputs; and create a continuous feedback loop that drives improvement in instruction, materials, and policy.
Assessment Framework and Policy
- National Assessment Framework: Define the purpose, scope, and typology of assessments across the education system: large-scale national assessments for system monitoring, sample-based diagnostic assessments for policy analysis, and classroom-level formative assessments for instructional improvement, each with clear objectives and appropriate methodologies
- Learning Standards and Competency Benchmarks: Develop grade-level competency standards in core subjects (literacy, numeracy, science) that define what students should know and be able to do at each stage, providing the reference framework against which all assessments are calibrated
- Assessment Instrument Design: Design assessment tools that measure higher-order competencies (comprehension, application, reasoning) rather than rote recall, using item response theory, pilot testing, and psychometric validation to ensure reliability, fairness, and comparability across years and regions
- Data Architecture and EMIS Integration: Define how assessment results connect to the national EMIS, linking learning outcome data to student records, teacher profiles, school characteristics, and resource inputs to enable multidimensional analysis of what drives learning
- Institutional Governance: Establish or strengthen a national assessment agency (or unit within the ministry) with the technical independence, mandate, and credibility to manage assessments, publish results transparently, and protect the integrity of the process from political interference
- Equity and Inclusion in Assessment: Design accommodations and alternative formats for students with disabilities, language minorities, and other marginalized groups, ensuring that assessment instruments and administration procedures do not systematically disadvantage any population
Build, Administer, and Analyze
- Assessment Platform: Build a digital platform for item banking, test assembly, administration (paper-based with optical scanning or digital where infrastructure allows), scoring, and results processing, designed to handle national-scale administration across diverse school contexts
- National Baseline Assessment: Administer an inaugural large-scale assessment in priority subjects and grade levels to establish a national learning baseline, identify performance gaps by region, gender, socioeconomic status, and school type, and set evidence-based improvement targets
- Formative Assessment Toolkit: Develop and distribute classroom-level assessment tools aligned with national learning standards, equipping teachers with diagnostic instruments, scoring rubrics, and guidance materials that translate assessment data into instructional adjustments
- Results Analysis and Reporting: Produce multilayered reports: national and regional trend analyses for policymakers; school-level performance profiles for principals and district officers; and classroom diagnostic summaries for teachers, each calibrated to the decisions that audience needs to make
- Capacity Building: Train assessment specialists in item development, psychometrics, and data analysis; train district officers in interpreting and using results for school improvement planning; and train teachers in formative assessment practices that connect daily instruction to learning standards
Institutionalize and Improve
- Regular Assessment Cycles: Institutionalize periodic national assessments (every two to three years) and annual sample-based diagnostics to track learning trends over time, detect emerging gaps early, and measure the impact of policy interventions and curriculum reforms
- Feedback to Curriculum and Teacher Development: Embed assessment findings into curriculum review cycles and teacher professional development programs, so that identified weaknesses in student learning directly inform what is taught, how it is taught, and what support teachers receive
- Research and Policy Analysis: Enable secondary analysis of assessment data by researchers, universities, and policy analysts through controlled data access, fostering a culture of evidence-based education policy and independent scrutiny of system performance
- International Benchmarking: Align national assessment frameworks with international standards and participate in regional or global assessments to benchmark learning outcomes, share methodologies, and track the country's progress in a comparative context
- Continuous Instrument Improvement: Establish processes for regular item review, bias analysis, and psychometric recalibration to ensure assessment instruments remain valid, fair, and aligned with evolving curriculum standards and pedagogical approaches
Expected Impact
Digital Learning Ecosystem and EdTech Integration
The Challenge
A country's classrooms rely almost entirely on printed textbooks, chalk-and-talk instruction, and face-to-face delivery. When disruptions occur (pandemics, natural disasters, conflict), learning stops entirely for millions of students because no alternative delivery infrastructure exists. Even under normal conditions, rural and remote schools lack qualified teachers in critical subjects, students have no access to supplementary learning materials, and teachers receive little support for updating their pedagogical practices. Several donor-funded EdTech pilots have been launched over the years, but they remain isolated projects: different platforms, different content standards, no interoperability, and no path to national scale.
The government wants to build a national digital learning ecosystem that extends quality education beyond the physical classroom. The ecosystem should provide a unified learning management system accessible to all schools; a curated, curriculum-aligned digital content repository; adaptive learning tools that personalize instruction to student needs; a teacher professional development platform for continuous upskilling; and a connectivity and device strategy that reaches underserved communities, ensuring that digital learning becomes an integral part of the education system rather than an emergency substitute.
Policy and Platform Architecture
- Digital Learning Strategy: Develop a national strategy that positions digital learning as an integral component of the education system (not a parallel track), defining how technology supports curriculum delivery, teacher effectiveness, student engagement, and system resilience across all education levels
- Learning Platform Architecture: Design the technical architecture for a unified learning management system that supports content delivery, student interaction, assignment management, progress tracking, and teacher facilitation, built to work across varying bandwidth conditions with offline capabilities
- Content Standards and Curation Framework: Establish standards for digital learning content (curriculum alignment, pedagogical quality, accessibility, language, open licensing) and design the curation and quality assurance process for sourcing, reviewing, and publishing materials in a national content repository
- Adaptive Learning Framework: Define the approach to personalized learning, including diagnostic assessments that identify student proficiency levels, adaptive content pathways that adjust difficulty and pacing, and analytics that surface learning gaps to teachers for targeted intervention
- Connectivity and Device Strategy: Map the digital infrastructure landscape (school connectivity, household device access, electricity availability) and design a phased approach to closing the digital divide, combining school-based solutions (computer labs, shared tablets), low-bandwidth delivery modes (offline content, SMS, radio, television), and community access points
- Teacher Digital Competency Framework: Define the digital skills and pedagogical competencies teachers need to effectively integrate technology into instruction, and design a professional development pathway from basic digital literacy through advanced blended learning facilitation
Build, Curate, and Launch
- Learning Management System: Deploy a national LMS (built on open-source foundations where possible) with role-based access for students, teachers, school administrators, and content managers, optimized for low-bandwidth environments with progressive content loading and offline synchronization
- Digital Content Repository: Build and populate a national repository of curriculum-aligned digital learning resources (interactive lessons, videos, simulations, practice exercises, e-textbooks) organized by subject, grade, and competency standard, with contribution workflows for teachers and vetted content partners
- Adaptive Learning Tools: Integrate diagnostic and adaptive learning modules in priority subjects (literacy and numeracy in early grades, mathematics and science in secondary) that assess student levels, provide personalized practice pathways, and generate teacher-facing dashboards showing individual and class-level progress
- Teacher Professional Development Platform: Launch an online and blended professional development platform offering self-paced courses, peer collaboration spaces, mentoring tools, and micro-credentialing, enabling teachers to build digital pedagogical skills and share effective practices across schools and districts
- Pilot and Iterate: Deploy the full ecosystem in selected districts representing diverse contexts (urban, rural, low-connectivity), collect usage data, learning outcome indicators, and teacher and student feedback, then iterate on platform design, content quality, and support models before national rollout
Institutionalize and Scale
- Institutional Ownership and Governance: Establish a dedicated digital learning unit within the education ministry responsible for platform operations, content curation, teacher support, and continuous development, with sustainable budget lines and clear coordination with curriculum and teacher development divisions
- Content Lifecycle Management: Institutionalize annual content review and update cycles aligned with curriculum revisions, retire outdated materials, commission new resources for emerging subjects, and maintain quality assurance standards as the repository grows
- Teacher Adoption and Support: Embed digital learning competencies into pre-service teacher training, in-service professional development requirements, and school-level support structures (digital learning coaches, peer networks) to ensure sustained adoption beyond initial enthusiasm
- Learning Analytics and Impact Monitoring: Use platform usage data and learning outcome metrics to continuously evaluate which digital interventions improve learning, identify schools and students that are not engaging, and adjust content, pedagogy, and support strategies based on evidence
- Resilience and Continuity Planning: Maintain the digital learning ecosystem as a permanent component of the education system that can scale up immediately during disruptions, with pre-configured emergency learning packages, broadcast delivery channels, and community access protocols ready for activation
Expected Impact
AURORA in Practice
Across all cases, the same principles drive our approach
Co-Design, Not Outsource
Every engagement is a joint exercise. Government counterparts participate in design decisions, development sprints, and operational setup. The process builds capability, not dependency.
Open Source, Low Cost
We prioritize open-source solutions and modular architectures that reduce vendor lock-in, lower total cost of ownership, and enable governments to maintain and evolve systems independently.
Built to Last
Sustainability is not an afterthought. Every solution includes capability transfer, institutional embedding, and continuous improvement mechanisms from day one.