The Independent Authority for Public Revenue (AADE) is entering a new era of enforcement with the implementation of the "Tax Administration 3.0" project. Supported by the Recovery and Resilience Facility (RRF), the audit mechanism is being transformed into a predictive engine that utilizes Artificial Intelligence (AI) to detect tax evasion even before a transaction is finalized.
The Digital Arsenal and the "DEOS" Team
At the forefront of this effort is the newly established Operational Planning Directorate (DEOS), which is fed data from sophisticated risk analysis algorithms. Audits are no longer conducted randomly or based on simple samples; instead, the system processes billions of data points in seconds, cross-referencing information from the myDATA platform, bank account movements, and POS transactions.
The Four Pillars of AI Enforcement
The new algorithms focus on specific strategies:
- Pattern Recognition: Comparing businesses within the same sector to identify unusually low profit margins or suspicious invoices.
- Predictive Analytics: Forecasting which taxpayers are most likely to evade taxes in the near future.
- Social Media Intelligence: Utilizing Web Scraping tools on platforms like Instagram and TikTok to identify luxury lifestyles that do not match declared income.
- Satellite Analysis: Comparing satellite imagery with property tax records (E9) to locate undeclared swimming pools and illegal constructions.
Ending Anonymity in Crypto
Significant emphasis is placed on tracing digital assets. AADE's Mass Digital Cross-Checking Unit now employs blockchain tracing algorithms to "break" the pseudonymity of transactions, linking digital wallets to traditional money flows in Greek bank accounts. Already, in the first quarter of 2026, targeted audits utilizing these digital tools have uncovered millions of euros in undeclared transactions and thousands of violations.
