Governance Risk Assessment System Brazil Scale-Up

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The project will help tackle corruption by using sophisticated data analytics techniques to help improve the investigative capabilities of Brazilian governments. It will do so by helping them to transform existing but unused data using data analytic tools to help identify procurement fraud through the generation of procurement red-flags, identify systemic control failures and assess market risks. The project will help improve efficiency in public expenditures by identifying opportunities to consolidate procurement across government, strengthen competition and align procurement with development policy objectives. The project builds on the Governance Risk Assessment System (GRAS) developed by the Governance Practice in Brazil. GRAS uses artificial intelligence for extracting 225 firm-level and agency-level corruption risk red-flags. GRAS allows the identification of a broad range of risk patterns, such as collusion between bidders, conflicts of interest, and companies owned by a front man. GRAS optimizes the process of detecting fraud in public expenditure, saving valuable resources and increasing the effectiveness of audits and fraud prevention. The project will help pilot Governments implement the GRAS and build capacity for sustainability of the System.