Cross-Referencing Every Taxpayer — Malta's SAS-Powered AI Push Against VAT and Tax Evasion
Malta
Malta committed €3m to deploy SAS AI tools that cross-reference registries and bank data to flag VAT fraud; officials attribute …
Uzbekistan · Tashkent · See the Uzbekistan profile · See the Tashkent profile
Evidence: Descriptive / self-reported Top 32% 67/100 · Ask Evidence Copilot about this practice
Uzbekistan's Tax Committee, with IMF support, built a real-time AI risk-scorer for mandatory e-invoices, red-flagging suspected fraud; its existing analytics already found 27 shell firms issuing 3.9 trillion UZS in fictitious invoices in just Q3 2025.
Uzbekistan's State Tax Committee, with IMF technical assistance, built a real-time risk-scoring system for mandatory e-invoices (Uzasbo Faktura/ESF, required since 2020), rating each invoice green (low-risk) or red (high-risk).
In Q3 2025 alone, the Committee's existing analytics identified 27 companies that issued fictitious e-invoices worth 3.9 trillion UZS, of which 706 billion UZS in VAT had already been wrongly credited.
The new automated scoring layer entered pilot on 22 December 2025 with no enforcement during the pilot; officials estimate ~10% of invoices will be flagged high-risk, and full enforcement begins 1 January 2026.
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Where this practice's information was retrieved from, and when.
Malta
Malta committed €3m to deploy SAS AI tools that cross-reference registries and bank data to flag VAT fraud; officials attribute …
Hungary
Hungary requires all businesses to report invoices to NAV in real-time XML since 2021; ML risk-scoring targets suspicious companies before …
Slovenia
Slovenia's FURS runs two ML risk-scoring models in its eDIS platform — one flags irregular VAT-refund claims since 2019, another …
Mozambique
Mozambique's Finance Ministry approved a fiscal roadmap (CFMP, June 2025) using AI — ML anomaly detection, NLP audits, digital-twin modelling …
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