170869b1-ecc3-4677-9de1-e3a68bc20772-01 Regarding the definitions of Social protection and Social Protection Institutions used in the procurement documents, both are defined in accordance with USP 2030:
Social protection: Nationally defined systems of policies and programmes that provide equitable access to all people and protect them throughout their lives against poverty and risks to their livelihood and well-being. These mechanisms include cash or in-kind benefits, contributory or non-contributory schemes, and programs to enhance human capital, productive assets and access to jobs. Benefits cover children, people of working age (in case of maternity, disability, work injury, or unemployment) and pension for older persons.
Social Protection Institutions: Social Protection Institutions are public bodies and related organizations that design, finance, manage and deliver social protection policies and programmes on behalf of the state - such as social insurance, social assistance and labour market programmes. Concretely, this usually includes organizations like: - Line ministries (Ministry of Social Affairs, Labour, Social Development, Social Protection, etc.) - Social insurance / social security funds (pensions, unemployment insurance, disability, health insurance). - Local social welfare offices / centres for social work that assess needs and deliver benefits and services. - Sometimes semi-autonomous agencies or mutual schemes that implement specific schemes (e.g. health mutuals, public PROCEDURE update-add Regarding the definitions of Social protection and Social Protection Institutions used in the procurement documents, both are defined in accordance with USP 2030:
Social protection: Nationally defined systems of policies and programmes that provide equitable access to all people and protect them throughout their lives against poverty and risks to their livelihood and well-being. These mechanisms include cash or in-kind benefits, contributory or non-contributory schemes, and programs to enhance human capital, productive assets and access to jobs. Benefits cover children, people of working age (in case of maternity, disability, work injury, or unemployment) and pension for older persons.
Social Protection Institutions: Social Protection Institutions are public bodies and related organizations that design, finance, manage and deliver social protection policies and programmes on behalf of the state - such as social insurance, social assistance and labour market programmes. Concretely, this usually includes organizations like: - Line ministries (Ministry of Social Affairs, Labour, Social Development, Social Protection, etc.) - Social insurance / social security funds (pensions, unemployment insurance, disability, health insurance). - Local social welfare offices / centres for social work that assess needs and deliver benefits and services. - Sometimes semi-autonomous agencies or mutual schemes that implement specific schemes (e.g. health mutuals, public 16 https://www.giz.de ORG-0001 Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH Dag-Hammarskjöld-Weg 1 - 5 Eschborn 65760 DE71A DEU 993-80072-52 +49 619679 +49 6196791115 [email protected] https://www.bundeskartellamt.de ORG-0002 Vergabekammern des Bundes Kaiser-Friedrich-Straße 16 Bonn 53113 DEA22 DEU 022894990 +49 2289499-0 +49 2289499-163 [email protected] ORG-0003 Datenservice Öffentlicher Einkauf (in Verantwortung des Beschaffungsamts des BMI) Bonn 53119 DEA22 DEU 0204:994-DOEVD-83 +49228996100 [email protected] 00766347-2025 223/2025 2025-11-19+01:00 2.3 eforms-sdk-1.12 eforms-sdk-1.12 ab33810b-54be-437c-95c9-065fd6095369 31219315-c8d3-45e4-aa7a-9b7dc75376bc 2025-11-18+01:00 14:05:28+01:00 01 2025-11-18+01:00 32014L0024 cn-standard ENG pub-undert-cga gen-pub ORG-0001 ted-esen ORG-0003 false no-eu-funds false vgv ENG SomeTenderDocID1 non-restricted-document exg-natl-bre-nat-law In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-part In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-terror In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-laund In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-fraud In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-corrpt In accordance with §§ 123,124 GWB, § 22 LkSG exg-crim-traffick In accordance with §§ 123,124 GWB, § 22 LkSG exg-pmt-bre-tax In accordance with §§ 123,124 GWB, § 22 LkSG exg-pmt-bre-ssc In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-bre-env-law In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-bre-soc-law In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-bre-lab-law In accordance with §§ 123,124 GWB, § 22 LkSG exg-sitn-insolvency In accordance with §§ 123,124 GWB, § 22 LkSG exg-sitn-liq-admin In accordance with §§ 123,124 GWB, § 22 LkSG exg-sitn-as-susp In accordance with §§ 123,124 GWB, § 22 LkSG exg-sitn-other In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-misconduct In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-distortion In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-partic-confl In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-prep-confl In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-sanction In accordance with §§ 123,124 GWB, § 22 LkSG exg-mis-misrepresent In accordance with §§ 123,124 GWB, § 22 LkSG epo-notice ORG-0001 According to Article 160, Section 3 of the German Act Against Restraint of Competition (GWB), application for review is not permissible insofar as 1. the applicant has identified the claimed infringement of the procurement rules before submitting the application for review and has not submitted a complaint to the contracting authority within a period of 10 calendar days; the expiry of the period pursuant to Article 134, Section 2 remains unaffected, 2. complaints of infringements of procurement rules that are evident in the tender notice are not submitted to the contracting authority at the latest by the expiry of the deadline for the application or by the deadline for the submission of bids, specified in the tender notice. 3. complaints of infringements of procurement rules that first become evident in the tender documents are not submitted to the contracting authority at the latest by the expiry of the deadline for application or by the deadline for the submission of bids, 4. more than 15 calendar days have expired since receipt of notification from the contracting authority that it is unwilling to redress the complaint. Sentence 1 does not apply in the case of an application to determine the invalidity of the contract in accordance with Article 135, Section 1 (2). Article 134, Section 1, Sentence 2 remains unaffected. ORG-0002 ENG open https://ausschreibungen.giz.de/Satellite/notice/CXTRYY6YTS9F34D7 false false 81320021 81320021-Expert Pool for Policy and Technical Advisory Services on Artificial Intelligence for Social Protection In times of multiple and overlapping crises, the Federal Ministry for Economic Cooperation and Development (BMZ) attributes high importance to the development of inclusive and adaptive social protection systems. BMZ is committed to supporting the expansion of social protection around the globe and works closely with its multilateral and international partners towards achieving this goal. The initiative "AI Hub for Social Protection of DCI" of Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH and its partners support this endeavor through (i) advising social protection institutions in designing, implementing and governing responsible AI systems and strategies, (ii) creating learning materials and virtual trainings for enhancing AI literacy capacities of social protection practitioners, (iii) creating and sharing knowledge products with and through a sector-wide global expert network and (iv) establishing a digital platform for developing and sharing AI Digital Public Goods (DPGs) in Social Protection (SP) including standards, data sets and software. The AI Hub for Social Protection is an endeavor of the Digital Convergence Initiative (DCI) which was launched in 2021 under the umbrella of the Global Partnership for Universal Social Protection (USP2030), with a view to harmonization and standardization of the digital ecosystem in social protection. Under the DCI structure, the AI Hub supports countries in navigating the rapidly evolving landscape of AI while promoting the principles of responsible, innovative and sovereign AI adoption within unique country contexts. During its inception phase the AI Hub will collaborate with a group of core partners to shape its strategic and thematic orientation. Among these core partners there are institutions with strong sectoral and technical expertise and a demonstrated commitment to contributing to global processes. This includes the Ministry for Employment and Social Development Canada (ESDC), German Social Accident Insurance Institution for the construction sector (BG BAU), the Federation of German Pension Insurance Institutions (DRV Bund), the International Social Security Association (ISSA), and DataPrev, a Social Security Information and Technology Enterprise of the Brazilian government responsible for managing the social data of the National Social Security Institute (INSS). Their engagement will be instrumental in driving the Hub"s four key areas of activity: country support, knowledge creation and sharing, capacity development and digital public goods and standards. The application of AI in social protection systems holds immense potential to improve efficiency, inclusion, and adaptability - essential factors for safeguarding vulnerable populations in times of crisis. Yet, challenges such as missing or weak AI governance and regulatory frameworks, lack of expertise regarding where and how to best deploy AI-driven solutions as well as limited technical expertise or low availability of high-quality data can prevent governments from fully leveraging these benefits. As AI advances rapidly, social protection institutions struggle to keep pace, limiting their ability to harness the benefits of AI for enhancing their social protection systems, while upholding human rights and ensuring equitable access to services. To date, the AI Hub"s services have been primarily delivered through digital social protection experts from the field of international development cooperation with deep sectoral expertise in building inclusive, interoperable, and harmonized digital social protection systems. These experts possess extensive experience supporting governments in their digital transformation efforts, particularly within low- and middle-income countries characterized by limited resources and digital maturity. While highly valuable, this expertise alone does not encompass the full spectrum of skills and capabilities necessary to implement the AI Hub activities and particularly, deliver its strategic and technical advisory services supported by proven methodologies and tools to social protection institutions in an efficient and effective manner for guiding them on their responsible AI adoption journey. Recognizing the emerging and rapidly evolving landscape of AI technologies and their potential to transform social protection systems, this procurement aims to contract a project team encompassing interdisciplinary, specialized AI and digital transformation experts for public sector clients with an extensive background in management and technology consulting with regard to AI strategy and implementation from the private sector. These experts will complement existing sectoral specialists and bring critical additional capabilities to the AI Hub"s service delivery and strategic development. Consultants under this contract shall closely work together with other AI Hub staff such as the before mentioned digital social protection experts, thereby ensuring an active and systematic knowledge exchange, beneficial for the overall project. services #Bekanntmachungs-ID: CXTRYY6YTS9F34D7#
All communication takes place in English via communication tool in the project area of the procurement portal. 72000000 72200000 anyw LOT-0001 slc-stand-other EN-A1: Principles for the execution of orders (Mit dem Angebot; Mittels Eigenerklärung): The eligbility criteria are not from the same category as stipulated above, as there is no suitable category.
1. Self-declaration: name of company and address, tax ID, registration and commercial register number or equivalent register in accordance with the legal provisions of the country of origin. 2. No grounds for exclusion pursuant to § 123, § 124 GWB, § 22 LkSG, EU-Russia sanctions
3. Declaration of bidding consortium and/or declaration of subcontractors (if applicable) slc-abil-ref-services EN-B1: Technical and professional ability (Mit dem Angebot; Mittels Eigenerklärung): 1. The technical assessment is only based on reference projects with a minimum commission value of 100.000,00 EUR (net). 2. At least 3 reference projects in the technical field "advisory services on AI strategy and development for social protection institutions or public sector clients" in the last 36 months slc-stand-to-avg EN-C1: Economic and financial standing (Mit dem Angebot; Mittels Eigenerklärung): Average annual turnover for the last three years (last-but-four financial year can be included in case of tenders held within 6 months of end of last financial year), at least: 1.200.000,00 EUR (net). slc-stand-other EN-C2: Economic and financial standing (Mit dem Angebot; Mittels Eigenerklärung): Average number of employees and managers in the last three calendar years, at least 50 persons. false not-allowed no-eu-funds t-requ not-allowed false ENG SomeTenderDocID1 non-restricted-document https://ausschreibungen.giz.de/Satellite/notice/CXTRYY6YTS9F34D7/documents false late-some GIZ asks the applicant or bidder to submit, complete or correct documents, within the framework laid down by law. none epo-notice no not-allowed required performance The execution conditions result from the information given in the contract notice and the tender documents. false ORG-0001 https://ausschreibungen.giz.de/Satellite/notice/CXTRYY6YTS9F34D7 ORG-0001 112 According to Article 160, Section 3 of the German Act Against Restraint of Competition (GWB), application for review is not permissible insofar as 1. the applicant has identified the claimed infringement of the procurement rules before submitting the application for review and has not submitted a complaint to the contracting authority within a period of 10 calendar days; the expiry of the period pursuant to Article 134, Section 2 remains unaffected, 2. complaints of infringements of procurement rules that are evident in the tender notice are not submitted to the contracting authority at the latest by the expiry of the deadline for the application or by the deadline for the submission of bids, specified in the tender notice. 3. complaints of infringements of procurement rules that first become evident in the tender documents are not submitted to the contracting authority at the latest by the expiry of the deadline for application or by the deadline for the submission of bids, 4. more than 15 calendar days have expired since receipt of notification from the contracting authority that it is unwilling to redress the complaint. Sentence 1 does not apply in the case of an application to determine the invalidity of the contract in accordance with Article 135, Section 1 (2). Article 134, Section 1, Sentence 2 remains unaffected. ORG-0002 ENG true true false required true https://ausschreibungen.giz.de/Satellite/notice/CXTRYY6YTS9F34D7 2025-12-09+01:00 12:00:00+01:00 2025-11-27+01:00 23:59:59+01:00 2025-12-09+01:00 12:00:00+01:00 false none none 81320021 81320021-Expert Pool for Policy and Technical Advisory Services on Artificial Intelligence for Social Protection 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. services #Besonders auch geeignet für:other-sme# true env-imp Climate protection clim-mitig pollu-prev inn-pur Consulting services regarding novel AI solutions proc-innov soc-obj Gender equality gen-eq 72000000 72200000 anyw 2026-02-16+01:00 2027-09-30+02:00 GIZ may optionally commission contract amendments and/or increases based on the criteria in the tender documents to the successful bidder of this tender. For details, please see the terms of reference. 2 GIZ may optionally commission contract amendments and/or increases based on the criteria in the tender documents to the successful bidder of this tender. For details, please see the terms of reference.