About
DCI coordinating partners assist selected countries in digitally transforming their social protection systems to enhance the delivery of benefits and services.
The DCI supports a wide range of measures, including but not limited to:
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- implementing global interoperability standards
- integrating social protection information systems
- improving grievance redressal mechanisms
- leveraging Artificial Intelligence (AI) to improve efficiency
Supported countries
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Context: Cambodia is in the process of developing a comprehensive digital social protection system, centered around the Social Protection Registry (SPR). The government has officially mandated the Digital Social Protection Platform (DSPP) to act as a centralized hub for beneficiary data.
Challenges: Cambodia’s digital ecosystem remains fragmented. Various agencies operate separate IT systems and applications for enrollment and registration, resulting in duplication and inefficiencies. Additionally, the absence of standardized digital building blocks and a coordinated approach to business operations poses further challenges.
Objectives: DCI (via GIZ) is working with the government to improve DSPP’s functionality by harmonizing grievance and feedback systems, leveraging AI for data quality, and enhancing interoperability with government systems.
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Context: Chile’s aging population is growing rapidly, with dependency rates rising, particularly among low-income individuals. Chile’s National Service for the Elderly (SENAMA) program provides support but operates with outdated and inefficient digital systems.
Challenges: SENAMA’s fragmented databases lack interoperability, limiting coordination with other institutions and reducing service effectiveness
Objectives: DCI (via FIAP) is working with the Government to modernize SENAMA’s digital infrastructure, integrate information systems, and enhance data analytics to improve elderly care services and strategic decision-making.
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Context: Social protection in Khyber Pakhtunkhwa (KP) is highly fragmented, with over 50 programs managed by 10 institutions. Efforts to integrate systems have led to the Social Protection Integration Strategy (2024).
Challenges: Lack of interoperability between federal and provincial programs, limited data exchange, and weak digital integration hinder coordination and service efficiency.
Objectives: DCI (via ILO) is working with the provincial government to improve digital convergence, standardize registries, enhance data sharing, and develop solutions to better protect informal workers.
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Context: Peru’s social security system has evolved significantly, with programs like JUNTOS, a conditional cash transfer initiative under the Ministry of Inclusion and Social Development (MIDIS) playing a key role in poverty alleviation. However, digital and operational inefficiencies persist.
Challenges: Limited interoperability between JUNTOS and other MIDIS programs, manual verification processes, and weak grievance redressal mechanisms slow service delivery.
Objectives: DCI (via GIZ) is working with the government to strengthen digital tools for beneficiary communication, enhance interoperability between key databases, and automate verification processes to improve efficiency.
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Context: Rwanda has launched Imibireho, a Dynamic Social Registry (DSR), as part of its push for digitalization in social protection. This system is intended to serve as a central hub for social protection data, facilitating seamless information exchange between government agencies.
Challenges: The digital landscape remains fragmented, with incomplete system integrations and a lack of enforced data-sharing standards, leading to inefficiencies in service delivery.
Objectives: DCI (via GIZ) is working with the government to build an interoperable ecosystem by integrating key government databases, designing a unified beneficiary registry, and leveraging AI to enhance efficiency.
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Context: Over the past two decades, Senegal has transformed its social protection sector with progressive policies, including the Unique National Register (RNU) for targeting vulnerable populations and Universal Health Coverage (CMU) initiatives.
Challenges: Limited system integration hinders program targeting and efficiency. The RNU is not fully interoperable with other databases, and governance gaps in health insurance management reduce service effectiveness.
Objective: DCI (via Expertise France) is working with the Government to strengthen digital transformation to enhance coordination, improve beneficiary targeting, and integrate social protection and health services through interoperable systems.
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Context: Digital transformation is central to Uzbekistan’s ambition of achieving universal social protection coverage. This initiative aligns with the country’s Artificial intelligence Development Strategy 2030 (adopted in October 2024) and the Digital Uzbekistan 2030 Strategy, both of which prioritize digitalization of public services and the integration of artificial intelligence across government platforms.
Challenges: The National Agency for Social Protection (NASP) faces challenges managing up to 5,500 daily calls in multiple languages. The agency needs scalable, secure, and reliable artificial intelligence solutions. Key priorities include ensuring data localization compliance, delivering accurate multilingual support (Uzbek, Russian, Karakalpak, Tajik), minimizing artificial intelligence hallucinations, integrating with grievance redress systems, and establishing strong AI governance.
Objective: DCI (via GIZ) is focusing on scaling a Retrieval Augmented Generation (RAG) chatbot to enhance social protection delivery and build institutional capacity for artificial intelligence adoption with an overall objective to enhance the efficiency and responsiveness of social protection programming.
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Context: Zambia’s social protection framework aligns with SDG goals, aiming for universal coverage through multi-sectoral integration. The National Health Insurance Authority (NHIMA) plays a key role in health insurance expansion, yet digital and interoperability gaps remain.
Challenges: Social protection databases are fragmented, with weak links between NHIMA, Social Cash Transfers, and Disability Management systems. Uncoordinated social security registration and inefficient data management hinder service delivery.
Objective: DCI (via ILO) is working with the Government to enhance system interoperability, integrate databases, and improve coverage by ensuring seamless registration of vulnerable groups into health and social protection programs.