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    Data Intelligence Transforms Tax Compliance Strategies in Brazil

    SEFAZ-RS is transforming tax compliance in Brazil by leveraging AI and data intelligence to detect irregularities in real-time, promoting timely corrective actions and improving governmental revenue recovery.

    sas.com•October 2, 2026•2 min read

    Key Facts

    • SEFAZ-RS processes 1.43M invoice items/hour, enhancing real-time compliance monitoring efficiency.
    • $16M in irregularities identified in five months highlights the financial impact of proactive auditing.
    • Continuous monitoring shifts audits from reactive to proactive, reducing taxpayer liabilities significantly.
    • Integration of 87M entities and 421M relationships reveals complex tax compliance networks and risks.
    • Data-driven culture fosters collaboration, improving agility and effectiveness in tax compliance strategies.

    Summary

    Summary

    The Secretaria da Fazenda do Rio Grande do Sul (SEFAZ-RS) faced challenges with delayed tax compliance detection, leading to significant revenue loss. By implementing SAS® Tax Compliance on SAS® Viya®, SEFAZ-RS transformed its approach to tax audits, achieving the identification of approximately $16 million in irregularities within five months and enabling near-real-time monitoring of tax transactions.

    Background

    SEFAZ-RS is the tax administration agency for Rio Grande do Sul, Brazil's fourth-largest state economy. Prior to the deployment of SAS solutions, the agency primarily relied on retrospective audits, which often resulted in delayed identification of compliance issues, leading to accumulated tax liabilities for businesses and lost revenue for the government.

    Challenge

    The agency aimed to shift from a reactive audit model to a proactive compliance strategy. The challenge was to identify potential noncompliance in tax transactions while they were still fresh, rather than waiting months or years for traditional audits to uncover issues.

    Solution

    SEFAZ-RS launched the Data-Driven Revenue (ROD) initiative, supported by SAS Viya as its central data and AI platform. This initiative integrated various data sources and analytical tools, allowing cross-functional teams to collaborate effectively. The implementation included SAS Intelligent Decisioning for processing alerts and SAS Visual Investigator for case prioritization, creating a unified workspace for auditors.

    Results

    SEFAZ-RS now analyzes over 1.43 million invoice items per hour and monitors more than $1 billion in yearly tax revenue in near real-time. In the first five months of the Continuous Transaction Monitoring System, the agency identified approximately $16 million in discrepancies. The shift to continuous monitoring has enabled faster detection of potential noncompliance, allowing for timely interventions.

    Key Insights

    Organizations looking to enhance compliance and operational efficiency should consider integrating data intelligence and AI into their processes. Collaboration between business and technology teams is essential for successful implementation, and a proactive approach can significantly reduce risks and improve outcomes.

    Customer Testimonial

    “We now have data already integrated, prepared and presented in ways that meet auditors’ needs. The work becomes much faster because the information is available immediately.” — César Tagliani Carneiro, Tax Auditor and Division Head, Data and Analytical Intelligence at SEFAZ-RS

    Entities Mentioned

    Companies

    SAS
    Vert Analytics

    Products

    SAS® Tax Compliance
    SAS® Viya
    SAS Intelligent Decisioning
    SAS Visual Investigator

    Technologies

    AI
    machine learning
    natural language processing
    generative AI

    People

    César Tagliani Carneiro
    Ronaldo Aparecido de Oliveira

    Organizations

    SEFAZ-RS
    Inter-American Development Bank
    Fiscal Management Improvement Program

    Key Concepts

    tax compliance
    data intelligence
    proactive audits
    continuous monitoring
    data-driven culture
    cross-functional teams
    real-time analysis
    risk detection

    Definitions

    data intelligence
    The use of data analytics and AI to improve decision-making and operational efficiency.
    proactive compliance
    An approach that focuses on identifying and addressing compliance issues before they escalate.
    continuous monitoring
    The ongoing analysis of transactions to detect irregularities in real-time.
    link analysis
    A technique used to identify relationships and connections between entities in data.
    data-driven culture
    An organizational mindset that prioritizes data usage in decision-making processes.

    Use Cases

    • →identifying tax irregularities
    • →monitoring electronic invoices
    • →detecting compliance risks
    • →integrating data from multiple sources
    • →improving auditor efficiency
    • →enhancing tax revenue collection

    Frequently Asked Questions

    What is the role of SEFAZ-RS?

    SEFAZ-RS is the tax administration agency for the state of Rio Grande do Sul in Brazil, responsible for ensuring tax compliance and managing revenue.

    How does SAS Viya support SEFAZ-RS?

    SAS Viya serves as the central data and AI platform for SEFAZ-RS, enabling advanced data analytics, machine learning, and real-time monitoring of tax transactions.

    What benefits does continuous monitoring provide?

    Continuous monitoring allows SEFAZ-RS to detect potential tax irregularities almost immediately, enabling quicker corrective actions and reducing the risk of revenue loss.

    What is the significance of the ROD initiative?

    The ROD initiative aims to enhance the use of data and analytics within SEFAZ-RS, fostering collaboration between tax experts and technology teams to improve compliance efforts.

    How has the approach to audits changed?

    The approach has shifted from retrospective audits to proactive compliance, allowing for real-time analysis and quicker identification of noncompliance issues.

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