Compliance Hub

Ensure COAF Compliance | Financial Activities Control in Brazil

Site Logo
Tookitaki
4 min
read

The Council for Financial Activities Control or Conselho de Controle de Atividades Financeiras  (COAF) is Brazil’s national financial intelligence unit, responsible for combating money laundering in the country.

The COAF receives and analyses information on financial transactions that have potential links to financial crimes including money laundering. Following its analysis, the council disseminates the results to the competent authorities when there are grounds to suspect money laundering or terrorist financing.

 

The Origin and Development of COAF

The COAF was created as part of Brazil’s Anti-Money Laundering Law passed in March 1998. Working under the Ministry of Finance, the council had tasks including regulating, applying administrative sanctions, receiving pertinent information, and examining and identifying suspicious activities related to money laundering.

The COAF’s structure, laws and operations were defined in subsequent legislations enacted between October and December 1998.

In August 2019, the council was renamed to Financial Intelligence Unit (Unidade de Inteligência Financeira in Portuguese) by President Jair Bolsonaro and was brought under the control of the Central Bank of Brazil. However, the National Congress of Brazil overruled the decision in January 2020 and decided to roll back the name to the Council for Financial Activities Control (COAF).

 

What Are the Responsibilities of COAF?

The following are the responsibilities of COAF:

  • Ensuring that Brazilian financial institutions operate in compliance with the country’s anti-money laundering (AML) regulations by implementing suitable policies and controls
  • Assessing the AML compliance programmes of firms operating in Brazil and analysing the suspicious activity reports (SARs) that they submit
  • Representing Brazil on international AML platforms such as the Financial Action Task Force (FATF)
  • Conducting investigations and disseminating key information to relevant law enforcement authorities when the agency detects violations
  • Providing the public with information and statistics relating to financial crime and compliance with various publications

 

How to Ensure COAF Compliance?

To comply with the COAF, firms in Brazil should have proper financial crime compliance programmes in line with the country’s regulations. Processes such as Customer Due Diligence (CDD), Watchlist Screening, Transaction Screening and Transaction Monitoring ensure that companies comply with regulations and avoid significant fines.

AML compliance programmes should have the following key components:

 

  • Customer Due Diligence: Through this process, firms verify the identities of their customers while onboarding and throughout the customer lifecycle to build accurate risk profiles.
  • Transaction Monitoring: In this process, firms monitor customer transactions for unusual activities (eg. abnormal transaction patterns, transactions that differ from risk profiles, or transactions with high-risk countries).
  • Watchlist Screening: This process ensures the screening of customers against various local and international watchlists (eg. sanctions, politically exposed persons) so that financial institutions can take necessary controls while doing business with high-risk customers.
  • Transaction Screening: Here, financial institutions screen third-party payment details against various watchlists so that they can avoid the risk of channelling funds into the wrong hands.

 

How Can Tookitaki Help Financial Institutions in Brazil?

Headquartered in Singapore, Tookitaki is a regulatory technology company offering financial crime detection and prevention to some of the world's leading banks and fintech companies to help them transform their anti-financial crime and compliance technology needs. Founded in November 2014, the Company employs over 100 people across Asia, Europe, and the US.

Fighting financial crime needs to be a collective effort through centralised intelligence-gathering. The Anti-Financial Crime (AFC) Ecosystem includes a network of experts and provides a platform for the experts to create a knowledge base to share financial crime scenarios.

This collective intelligence is the ability of a large group of AFC experts to pool their knowledge, data, and skills in order to tackle complex problems related to financial crime and pursue innovative ideas.

The AFC ecosystem is a game changer since it helps remove the information vacuum created by siloed operations. Our network of experts includes risk advisers, legal firms, AFC specialists, consultancies, and financial institutions from across the globe.

Tookitaki’s Anti-Money Laundering Suite (AMLS) covers the entire customer onboarding and ongoing processes through its Transaction Monitoring, Smart Screening, Customer Risk Scoring, and Case Manager. Together they provide holistic risk coverage, sharper detection, and significant effort reduction in managing false alerts.

Tookitaki's solutions work in tandem and help our stakeholders widen their view of risk from an internal one to an industry-wide one across organizations and borders. Moreover, they can do so without compromising privacy and security.

Apart from necessary human resources, banks and financial services should have technological resources to carry out their AML compliance activities and duties effectively.  Our offerings manage the end-to-end of AML compliance programmes and help improve the efficiency of the AML compliance team and better mitigate compliance risk.

Speak to one of our experts today to understand how our solutions help your compliance teams to ensure future-proof compliance programmes.

 

Talk to an Expert

Ready to Streamline Your Anti-Financial Crime Compliance?

Our Thought Leadership Guides

Blogs
31 Jul 2026
6 min
read

Explainable AI in AML: How to Use Models You Can Defend to a Regulator

APAC regulators increasingly ask not just what your AML models detect, but how they were governed, what they learned, and whether you can explain a specific decision. This guide covers the three levels of AI explainability and the five-stage governance lifecycle that meets regulatory expectations.

Explainable AI in AML: How to Use Models You Can Defend to a Regulator
Blogs
31 Jul 2026
5 min
read

AI-Powered AML Screening: How Two-Pass Matching Cuts False Positives by 60–70%

Keyword-only sanctions and PEP screening generates false positive rates that overwhelm compliance teams. This guide covers how two-pass AI screening works, why it outperforms keyword matching, and what 60–70% false positive reduction looks like in practice.

AI-Powered AML Screening: How Two-Pass Matching Cuts False Positives by 60–70%
Blogs
31 Jul 2026
5 min
read

AML Case Management: How AI Reduces Alert Handling Time by 70%

Alert backlogs in AML operations are rarely a detection problem — they are a case management problem. This guide covers how AI-powered case management reduces handling time by 70%, how alert prioritisation works, and what FinCense Case Manager does differently.

AML Case Management: How AI Reduces Alert Handling Time by 70%