DPI-AI Framework
Vision paper on Building AI-Ready Nations through
Digital Public Infrastructure.
Bridging DPI and AI
The DPI-AI Framework introduces three interrelated elements: AI Blocks, which are modular units of AI capability that can be invoked as callable functions; DPI Workflows, which are the orchestration layer that coordinates these functions across systems; and Public Agents, which are AI-enabled assistants that interface with citizens and institutions. Together, these elements allow governments to embed intelligence into service delivery while preserving interoperability, accountability, inclusion, and sovereignty.
AI Blocks
AI Blocks are modular units of AI capability that can be invoked as callable functions. They are designed to perform both sector-specific functions, such as identity verification, registry creation, credential issuance, or decision support, and foundational, bounded tasks such as classification, summarisation, and translation.
DPI Workflows
DPI Workflows provide the orchestration layer that coordinates AI Blocks with existing DPI systems, policy rules, data flows, and human oversight. Workflows define how identity is verified, how data is accessed through data exchange mechanisms, and how AI outputs are applied within public processes.
Public Agents
Public Agents are AI-enabled interfaces that interact with citizens and public servants. They draw on AI Blocks through DPI Workflows, while relying on digital identity for authentication, data exchange for authorised access to information, and payment systems where transactions are required.
About this paper
This paper is intended for digital leaders in government, development partners, donors, and practitioners who are shaping national and global digital agendas, as well as for anyone interested in societal transformation, poverty alleviation, and developmental impact using technology.
Its aim is not to promote AI adoption for its own sake, but to provide a clear and practical way to align emerging AI capabilities with the foundational rails of DPI towards development outcomes, enabling more adaptive, coherent, and publicly governed digital systems over time. In this vision, the value of AI emerges not from its autonomy but from how it integrates dynamically with the foundational rails of DPI to create adaptive, intelligent, and publicly governed digital infrastructure.
How to cite
CDPI Abadie, D. (2026). DPI-AI Framework: Building AI-Ready Nations through Digital Public Infrastructure. https://digitalpublicinfrastructure.ai
Icon attribution: json Assetwave – Flaticon Bloquear Pixel perfect Agente Cap Cool
