As the infrastructure develops, each participant retains data custody and consent frameworks appropriate to their context. Aggregation and analysis occur only with explicit consent and shared- value principles. The architecture is cloud-neutral and interoperable across trusted providers, ensuring that no single entity controls access or infrastructure. The MVP phase tests these components in practice, setting benchmarks for performance, inclusivity and trust, in line with international frameworks. Pathways to scale The Partnership’s design is inherently scalable. The MVP provides a foundation that can scale along multiple pathways, allowing new partners, sectors and geographies to connect progressively while retaining sovereignty and trust. –Sectoral scaling: The model links datasets across industries and supply networks where collaboration is essential; for example, manufacturing, agriculture, construction, logistics and technology. –Regional scaling: Regional hubs mirror local legal and policy contexts, connecting national systems and facilitating insights on cross-border recruitment, migration and enforcement trends. Such hubs may evolve through multilateral frameworks that build on regional trust and shared labour goals. –Institutional scaling: As awareness grows, more institutions, from international organizations to data platforms, can join as analytical or governance nodes. Each additional participant contributes to a more complete global map of forced labour risk and prevention activity. Scalability depends as much on trust as on technology. Maintaining an equilibrium between global interoperability and local sovereignty ensures that every participant retains ownership, gains confidence and benefits from collaboration. Scaling securely requires active risk management and strong governance. The Partnership’s governance architecture upholds transparency, accountability, ethical use and inclusion – principles that safeguard legitimacy as participation expands. –Institutional and governance risks: Differences in mandate, capacity and influence can create imbalance or uncertainty about roles. Clear rules of engagement, equitable representation and transparent decision-making are essential to sustaining reciprocity and trust. –Strategic and political risks: Shifts in trade regimes, data sovereignty debates or national priorities may affect participation. Alignment with global frameworks, such as the UN Guiding Principles on Business and Human Rights and the ILO Forced Labour Protocol, helps maintain neutrality and coherence. –Technical and ethical risks: Algorithmic bias, inconsistent data quality and varying metadata standards could distort analysis or weaken confidence. Continuous technical assurance and ethical oversight ensure that innovation and protection advance together. –Operational and resource constraints: Smaller worker or civil society partners may face barriers to participation. Targeted support and simplified onboarding can enable inclusive engagement. –Enabling conditions for scale: Despite these challenges, the enabling environment is strong. The Partnership’s alignment with emerging due-diligence and transparency regulations provides a practical basis for adoption. Its design as a neutral multistakeholder initiative – underpinned by transparent governance, shared ethical standards and demonstrable value for all participants – creates conditions for sustainable participation and measurable progress. Key governance principles 1. Transparency: Participation criteria, data protection measures and analytical processes are documented and reviewable. 2. Accountability: Audit logs and impact metrics provide traceability for data queries and outputs. 3. Ethical use: Data use is guided by the shared objectives of prevention, remedy and accountability, and must remain consistent with these purposes across all participants. 4. Inclusion: Civil society and worker organizations contribute insights and data to ensure real world relevance and proportionality. Safeguards ensure that all data use protects dignity, guarantees consent and enables remedy in accordance with international labour rights standards.313.2 Trust by design: Governance, risks and enabling conditions for scale The Partnership’s design is inherently scalable. The MVP provides a foundation that can scale along multiple pathways, allowing new partners, sectors and geographies to connect progressively while retaining sovereignty and trust. Harnessing Data and Intelligence for Collective Advantage: Ending Forced Labour in Global Supply Chains 21

Harnessing Data and Intelligence for Collective Advantage 2026