The OECD.AI Policy Navigator

Our policy navigator is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse initiatives and find what you are looking for.

AuditSearch: AI-Powered Search System for Internal Government Audit


Added by:   OECD analyst
Added on:   29 Oct 2026
Updated by:   OECD analyst
Updated on:   29 Oct 2026

undefined
AuditPesquisa is an AI-powered search system developed by Brazil's Federal Comptroller General's Office (CGU) that enables auditors and government managers to rapidly find answers in over 3,000 audit reports using advanced semantic search and generative AI. The system combines natural language processing with evidence-based responses to help auditors access institutional knowledge, identify similar findings across reports, and support faster, more informed internal government auditing.

Name in original language

AuditPesquisa – Sistema de Inteligência Artificial para Apoio à Auditoria Interna Governamental

Initiative overview

Before AuditPesquisa, searching for information in Brazil's internal government audit reports was manual, time-consuming, and inefficient. The CGU's Federal Office of Internal Control (SFC) maintained over 3,000 audit reports but lacked a system to interpret textual content, identify patterns, or connect similar findings across audits. As government demands for faster, evidence-based analysis increased, there was a critical need for an intelligent solution that could understand context and meaning—going far beyond simple keyword searches.

The AuditPesquisa initiative pursues five primary objectives: 1. Facilitate Access to Audit Knowledge: Enable auditors and government managers to rapidly access insights embedded in 3,000+ historical audit reports through semantic understanding rather than keyword matching. 2. Reduce Research Time: Significantly decrease the time required to search for audit information and prepare new audit procedures and recommendations. 3. Promote Knowledge Reuse: Encourage the reapplication of prior audit analyses, findings, and methodologies in future auditing work to build on institutional learning. 4. Create an Intelligent Repository: Consolidate audit reports in a searchable, semantically indexed database with advanced filters (by agency, audit type, time period, findings, and recommendations). 5. Foster AI Innovation in Public Administration: Demonstrate the value and feasibility of generative AI for core government functions, building a culture of responsible AI adoption within Brazil's internal audit community.

Results, outcomes and impacts

Since its launch in October 2025, AuditPesquisa has registered hundreds of interactions by almost 200 users across CGU, at a total operational cost of just USD 36.23 — demonstrating high impact at minimal expense. More than 3,000 public audit reports were indexed and semantically vectorised, significantly reducing information retrieval time for auditors. Usage metrics and user feedback serve as the primary measurement tools. Expected future impacts include broader adoption across federal oversight bodies and replication to other document-intensive government functions.

Other relevant details

Challenges and lessons learned: Key challenges included processing 3,000+ heterogeneous audit documents, managing LLM API costs, and ensuring secure access in a government environment. These were addressed through migration to PostgreSQL/pgvector and prompt engineering. Introducing a new AI tool to traditional audit teams required training and cultural change to shift from manual document review to trusting AI-generated search results. Lessons learned: iterative prototyping with early IT partnership accelerates adoption. Success requires leadership support, robust data governance, and institutional openness to AI experimentation. Starting with a proof-of-concept, refining based on user feedback, and then scaling has proven more successful than attempting to build a fully featured system before testing.

About the policy initiative


Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • AI use cases/projects in the public sector

Status:

  • Active

Start Year:

  • 2023

Target Sectors:


OECD AI Principles:

—

Other relevant urls:

—

Images: