Key insights include:
➡️ Supervisory selection tool: The exercise will help calibrate AMLA’s models used to select firms for direct supervision starting in 2028;
➡️ EU-wide risk consistency: The exercise aims to standardise how money laundering (ML) risks are assessed across credit and financial institutions;
➡️ Preparation for future supervision: The exercise allows firms to test internal data capabilities ahead of future AMLA-led data collections; and
➡️ Submission deadline: Participating firms must submit data by 22 April 2026.
✅ Firms expecting to be directly supervised by AMLA should prioritise data quality and governance to ensure readiness for future reporting requirements.