Beschreibung der Beschaffung
The contractor will provide a pool of experts to contribute to the respective work packages detailed below. All country-specific activities will be implemented jointly with GIZ and its implementing partners. The global activities will involve cooperation with the global team at GIZ"s headquarters.
Work Package 1: Strategic and Technical AI Advisory Services for Country Support
This work package constitutes the core offering of the AI Hub"s advisory services, aimed at supporting social protection institutions across diverse countries-particularly low- and middle-income countries (LMICs)-in responsibly exploring, designing, and implementing AI solutions. The consultants engaged under this package will provide end-to-end strategic and technical guidance tailored to each country"s unique operational, regulatory, and socio-economic context.
The overarching goal is to strengthen institutional capacities and processes for more inclusive, effective, and efficient social protection systems by:
- Enabling informed, ethical, and context-sensitive AI adoption and governance.
- Supporting governments in shaping AI strategies and regulatory frameworks aligned with national priorities and policy objectives.
- Promoting equity and inclusion of digital social protection systems through AI adoption, particularly safeguarding the most vulnerable population groups.
- Promoting digital sovereignty and long-term sustainability for developing, deploying and using AI systems.
Services will be delivered in close coordination with relevant stakeholders, government entities, local development partners and technology service providers, civil society, and international development cooperation organizations-to foster trust, ensure local ownership, and build robust partnerships.
The consultants will deliver expertise across the following ten interlinked areas, while ensuring that relevant insights and learnings are documented and shared, so they can inform the overall AI Hub project across its other three action areas of Knowledge Production and Sharing, DPG and Standard development, as well as Skills and Capacity Building.
Work Package 2: Standards and Digital Public Goods (DPGs)
This work package focuses on promoting and enhancing the digital ecosystem necessary for the responsible and effective use of AI in social protection systems. A key priority is to harness expertise and innovation from outside the public sector-including academia, civil society, and the private sector-to support the development of Digital Public Goods (DPGs), as defined by the DPG Alliance (DPGA), tailored for government use.
By facilitating the collaborative development of open-source tools, standards, guidelines, for DPGs, the AI Hub will foster AI-based solutions which adhere to open source standards such as defined by the Open Source Initiative and / or Creative Commons). Thus, AI-based software and applications are accessible, re-usable, can be modified, studied, used and redistributed without restrictions and licensing fees, and are adaptable to diverse country contexts. These tools will be designed to be interoperable, ethically sound, and scalable-enabling governments to accelerate digital transformation while maintaining sovereignty, transparency, and inclusion. This work package aims to bridge silos, promote cross-sector collaboration, and catalyze innovation across countries and partners.
Work Package 3: Skills and Capacity Development on responsible AI adoption
This package aims to equip key stakeholders in social protection institutions -policy makers, social protection experts, decision-makers, and technical staff-with the necessary understanding, skills, and practices to responsibly adopt AI within social protection systems.
Developing a sound, low-threshold, low-resource intense capacity development concept for the AI Hub addresses the critical need to close skills and capability gaps in social protection institutions, so social protection practitioners and technical experts are enabled to harness AI responsibly to enhance their social protection systems. This overall concept includes designing and implementing a sound methodological learning journey tailored to the most pressing capacity building needs of different key target groups in social protection institutions.
Recognizing that much of the innovation in AI originates outside the public sector, the AI Hub will curate and translate relevant insights, methods, and lessons from adjacent fields-such as health, education, and the private tech ecosystem-into actionable knowledge tailored to the social protection context.
It combines self-paced e-learning (videos, modules, toolkits) with instructor-led virtual learning journeys. Through modular, persona-based learning paths, the program will build foundational AI and data literacy, demystify AI applications in social protection, and embed governance, ethics, and data stewardship at every stage-aligned with international best practices. Learning will be contextualized through real-world use cases, enabling participants to design, implement, and govern AI tools in their own institutional environments.
For the implementation of work packages 1-3 described above , the tenderer is required to provide a team leader (20 expert days), an IT/AI development lead (40 days), a project coordinator (30 expert days), as well as 3 expert pools: AI strategy consultants (150 days), technical AI consultants (140 days) and capacity development experts (45 days).
Individual trips of various experts, especially in the context of Work package 1, will be required.