VeRa — Italy's AI risk-scoring algorithm for tax-evasion detection
Italy
Italy's Agenzia delle Entrate deploys VeRa, an AI algorithm cross-referencing declarations with bank data, property records and electronic payments. In …
Costa Rica · San José · See the Costa Rica profile
Costa Rica’s tax directorate uses the open-source CIAT e-IAD ML model to detect anomalies in e-invoices. By 2026 it exposed a ~₡80 billion fraud network of ~200 taxpayers and recovered ₡8 bn in 2025. CIAT has since deployed it in Guatemala and Rio Grande do Sul.
Costa Rica's Dirección General de Tributación, with CIAT and Microsoft, deployed e-IAD, an open-source unsupervised machine-learning model co-developed by tax experts from seven CIAT member countries over 12 months, which analyses millions of e-invoices, tax returns and taxpayer-registry data to flag outliers and behavioural patterns consistent with organised tax evasion.
By April 2026, the system helped DGT investigators uncover a fraud network of approximately 200 taxpayers involving false vouchers totalling roughly ₡80 billion (~USD 150 million); in 2025 alone, AI-assisted audits recovered approximately ₡8 billion (~USD 15 million) deducted irregularly through unsubstantiated electronic invoices. CIAT has since deployed the same solution in Guatemala and Rio Grande do Sul, Brazil.
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
Where this practice's information was retrieved from, and when.
Italy
Italy's Agenzia delle Entrate deploys VeRa, an AI algorithm cross-referencing declarations with bank data, property records and electronic payments. In …
Ireland
Since 2011, Ireland's Revenue Commissioners have used AI risk scoring (REAP) to target tax-compliance interventions; 290,000 data-analytics-driven interventions in 2023 …
Latvia
Latvia's SRS uses ESCORT ML to score every registered company for fraud risk across tax and labour domains. Fraud detection …
South Africa
South Africa's SARS uses ML models across 1.2 billion annual records to select audits and detect refund fraud. In FY2024/25 …
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