29 April 2026
AMLA ¦ Summary of the 8th Meeting of the General Board in Supervisory Composition
AMLA’s supervisory architecture takes shape around risk, data and cross-border cooperation
The European Union’s Anti-Money Laundering Authority (AMLA) is moving from institutional design towards operational supervision. Its latest General Board meeting in supervisory composition highlighted a central challenge: creating a more consistent European approach to money laundering and terrorist financing risks without removing the judgement and flexibility needed at national level.
The priorities discussed included supervision of the non-financial sector, cooperation between home and host supervisors, common AML/CFT methodologies, indirect supervision and the development of a central database. Together, these measures point towards a system intended to reduce fragmentation and improve the detection of illicit finance across borders and sectors.
A more coordinated approach to money laundering risk
A recurring concern was the uneven quality of supervision across the European Union. Differences in supervisory practices, risk awareness, resources and reporting arrangements can create gaps that criminals exploit. Such weaknesses are particularly significant where illicit proceeds move through several jurisdictions or pass between financial and non-financial businesses.
AMLA’s emerging supervisory model is intended to support more consistent outcomes. The proposed approach combines direct supervision of selected entities with indirect supervision and greater coordination among national authorities. The objective is not uniformity for its own sake. Rather, supervisory measures should reflect the actual money laundering and terrorist financing risks associated with a sector, business model, customer base and geographic exposure.
The emphasis on risk-based supervision is important because the underlying threats are not distributed evenly. A bank providing correspondent banking services, a payment institution handling cross-border transfers, a virtual asset service provider and a small domestic professional firm may face very different exposure to criminal proceeds. Effective supervision therefore requires a common baseline, while allowing authorities to focus resources where the risk of laundering, terrorist financing or predicate offenses is greatest.
Predicate offenses must remain central to supervision
Money laundering cannot be assessed in isolation from the crimes that generate illicit proceeds. The effectiveness of the European supervisory framework will depend partly on whether institutions and authorities identify the underlying predicate offenses, rather than treating suspicious transactions as an abstract compliance issue.
Relevant predicate offenses may include fraud, corruption, drug trafficking, human trafficking, migrant smuggling, tax crimes, sanctions evasion, cybercrime, environmental crime and organized theft. The financial patterns associated with these offenses differ. Fraud may involve rapid transfers through payment accounts and mule networks. Corruption may be concealed through complex ownership structures, high-value assets or intermediaries. Cybercrime proceeds may move through virtual assets, shell companies and cross-border payment channels before being integrated into the legitimate economy.
A risk-based AML/CFT framework should therefore connect customer and transaction information with typologies linked to specific crimes. This requires institutions to understand not only who controls an entity or initiates a payment, but also how the activity fits with known methods for generating, moving and disguising criminal proceeds.
Supervisors also need access to meaningful information from financial intelligence units and other competent authorities. Early involvement of relevant expertise can help ensure that supervisory priorities reflect actual threats identified through suspicious transaction reports, criminal investigations and intelligence analysis.
Non-financial businesses face a proportionate but more focused regime
The non-financial sector remains one of the most uneven parts of the European AML/CFT system. Lawyers, accountants, auditors, tax advisers, real estate professionals, gambling operators, dealers in high-value goods and other obliged entities can be used to acquire assets, establish companies, move funds or obscure beneficial ownership.
At the same time, many smaller businesses in these sectors have limited compliance capacity. National supervisors may also lack sufficient staffing, data and specialist knowledge. A supervisory model that applies the same intensity to every business would risk diverting resources from the areas where criminal exploitation is most likely.
The proposed phased approach seeks to address this problem through simplified risk assessment, sector-specific analysis, capacity building and targeted engagement. Lower-risk entities and sectors should not be burdened with disproportionate reporting or supervisory requirements. Higher-risk activities, however, require closer scrutiny and stronger intervention.
This balance will be difficult to maintain. Proportionality must not become a justification for overlooking sectors that appear small but are attractive to criminals because of weak controls. Real estate transactions, company formation, trust and corporate services, high-value goods and gambling can all play a role in laundering proceeds from predicate offenses. The relevant question is not simply the size of an entity, but the exposure created by its services, customers, transactions and connections.
Home and host supervisors need timely information
Cross-border groups create a particular supervisory challenge. A financial institution may be headquartered in one Member State, operate branches in several others and serve customers across the European Union. A weakness identified in one part of the group may have consequences throughout the wider business.
The planned consultation on regulatory technical standards for cooperation between home and host supervisors addresses this issue. The proposed framework covers information exchange, cooperation during supervisory inquiries and common approaches to group supervision.
Effective cooperation is essential in money laundering cases because illicit activity often exploits the boundaries between jurisdictions. A customer may be onboarded in one country, hold funds in another, use payment services in a third and acquire assets through a company registered elsewhere. If supervisors do not share relevant information quickly, institutions may receive an incomplete view of the risk and criminal proceeds may continue moving through the system.
At the same time, information sharing must be legally sound and targeted. Authorities raised concerns about the scope of early information exchange in enforcement contexts and the need to limit proactive sharing to information with a significant impact on supervisory risk assessments. This reflects a practical requirement: cooperation should be timely and useful, not an indiscriminate transfer of data that creates additional burdens without improving risk detection.
Common methodology should improve supervisory consistency
AMLA is also developing a common AML/CFT supervisory methodology alongside risk-based supervision guidelines. A shared methodology can help national authorities assess governance, customer due diligence, transaction monitoring, suspicious transaction reporting, beneficial ownership controls and sanctions compliance using more comparable standards.
The methodology should also support assessment of how institutions respond to predicate offense risks. A technically complete compliance framework may still be ineffective if it fails to identify fraud networks, corruption indicators, tax crime exposure or the misuse of legal persons. Supervisors will need to examine whether controls operate in practice, including the quality of alert investigation, escalation decisions, reporting to financial intelligence units and the management of high-risk relationships.
The proposed supervisory handbook is expected to help establish greater convergence while preserving national supervisory judgement. That balance is important. A handbook that is too prescriptive may not adapt to new criminal methods or national circumstances. One that is too general may fail to reduce the inconsistencies that currently weaken the European system.
Data infrastructure will determine whether the framework works
The development of a Central AML/CFT Database is another major component of the supervisory model. Its value will depend on the quality, comparability and security of the information entered into it.
Data can help identify recurring weaknesses, compare supervisory outcomes, detect cross-border patterns and support the prioritisation of high-risk entities. It may also improve the ability to connect information about institutions, sectors, jurisdictions and control failures.
However, data infrastructure can create significant operational challenges. Authorities require clear reporting formats, manageable implementation timelines, secure exchange channels and systems that can work across existing national arrangements. Poorly designed reporting obligations could generate large volumes of information without producing better intelligence.
The system should therefore prioritise data that supports concrete supervisory decisions. Information should be accurate, structured and sufficiently detailed to reveal exposure to money laundering, terrorist financing and predicate offenses. The focus should be on usefulness rather than volume.
Indirect supervision must not become secondary
The role of indirect supervision received particular attention. National authorities will remain central to the effectiveness of the European AML/CFT framework, including where AMLA does not directly supervise an entity.
Indirect supervision can help spread common standards, identify weaknesses in national practices and ensure that higher-risk sectors receive appropriate attention. It is especially important where direct supervision covers only a limited number of entities or where risks are concentrated in businesses supervised by national authorities.
For this model to work, AMLA must have sufficient visibility into national supervisory activity and enough authority to challenge inadequate prioritisation or inconsistent outcomes. National authorities, in turn, need practical tools, clear expectations and channels for resolving differences.
The strongest model is likely to be one in which direct and indirect supervision reinforce each other. Direct supervisory experience can inform broader methods and risk indicators, while national authorities can provide local intelligence about criminal markets, predicate offenses and sector-specific vulnerabilities.
Implementation will be as important as the design
The supervisory priorities set out by AMLA point towards a more integrated European response to illicit finance. Their success will depend on implementation.
Authorities will need to manage the number of task forces and workstreams, avoid overlapping timetables and account for resource constraints, particularly in smaller jurisdictions. Information must flow effectively between internal committees, task forces, national authorities, financial intelligence units and the General Board. Supervisory technology and data requirements should be considered early rather than added after policy decisions have been made.
For obliged entities, the direction of travel is clear. Businesses should expect closer attention to the effectiveness of their controls, greater scrutiny of cross-border activity and more consistent supervisory expectations. Compliance programmes will need to show a demonstrable connection between risk assessment, transaction monitoring, suspicious activity reporting and the predicate offenses most relevant to the business.
AMLA’s developing framework has the potential to reduce supervisory gaps and improve the tracing of criminal proceeds across the European Union. Its credibility will ultimately be measured by whether it helps authorities identify real threats earlier, disrupt laundering networks more effectively and prevent proceeds from fraud, corruption, trafficking, cybercrime and other predicate offenses from entering the legitimate financial system.