GoR AI-Powered Policy Navigator — el asistente RAG de Ruanda para el acceso a políticas públicas

Civil servants and citizens in Rwanda often struggle to locate the specific, current version of a policy, regulation or strategy among scattered government documents, slowing both compliance checks and public information requests. The Rwanda Information Society Authority (RISA), working with the National Institute of Statistics of Rwanda (NISR), the African Institute for Mathematical Sciences - Rwanda (AIMS Rwanda), Mastercard and Cenfri, built the 'GoR AI-Powered Policy Navigator'.

The tool uses retrieval-augmented generation (RAG) to answer multilingual queries about policies, regulations and strategies, drawing responses exclusively from verified government sources, and includes a secure workspace and an automated policy-alignment checker against national frameworks.

The Policy Navigator was built during the first cohort of the Data Science Capacity Building Initiative (DSCBI), a programme that trained 50 professionals from 24 government institutions, and was one of the top three projects from that cohort.

The project was one of 59 projects, from nearly 400 global submissions, recognised at the ITU AI for Good Global Summit's Innovate for Impact 2026 awards, in the Open-Source AI for Global Impact category.

This is external, competitive validation of the concept, but neither RISA's announcement nor the award materials publish usage volumes, response-accuracy figures or a comparison of search time before and after; the efficiency claim that the tool 'significantly reduces time required to search through policy documents' remains self-reported.