Comply with global & local AML and CFT regulations with a comprehensive prebuilt rules library, advanced machine learning detection models and Agentic AI that drives faster and accurate investigations.
AML Compliance
Comply with global & local AML and CFT regulations with a comprehensive prebuilt rules library, advanced machine learning detection models and Agentic AI that drives faster and accurate investigations.
Build a comprehensive AML compliance process with FOCAL. Prevent financial crime in real time with a unified platform that combines advanced ML models, dynamic rules engine and a built in Agentic AI for seamless investigation.
Customizable rules, advanced ML models, and automated workflows for seamless operations.
Comply with local AML regulations with out-of-the-box rules that can be tailored to your organization’s needs. Protect against structured payments, money mules and more.
Create, modify, and fine-tune transaction monitoring rules with a no-code interface, to improve detection accuracy and adapt to regulatory changes.
Test and validate transaction monitoring rules before deploying them in a live environment. Fine tune rules and thresholds to optimize alert quality.
Leverage FOCAL’s built-in Agentic AI to streamline investigations, automate alert triaging, disposition, and auto closures.
Quickly Identify irregular patterns or outliers in financial transactions, using unsupervised ML models to detect hidden AML risks missed by other systems.
Leverage ensemble machine learning to detect unusual transaction behavior such as high transaction velocity, location mismatches, spending pattern with precision.
Auto‑generate SAR reports and comply with local regulatory requirements using a built-in Agentic AI.
Hear how FOCAL is helping compliance teams work faster and reduce risk
Implementing effective AML practices requires a comprehensive approach and adherence to industry best practices. Some key recommendations for organizations to enhance their AML frameworks include:
Ongoing Monitoring and Reporting: Monitor customer transactions and behavior continuously.Use automated systems to detect suspicious activity quickly.Report suspicious transactions to the authorities promptly.
Employee Training and Awareness: Train employees regularly on AML policies and procedures.Promote a culture of compliance and awareness of AML risks.
Utilizing Technology: Use AI and machine learning to improve AML processes.Implement transaction monitoring systems and data analytics tools.
Transaction monitoring: involves monitoring customer transactions for suspicious activity. This can be done manually, but it is more efficient and effective to use automated transaction monitoring systems. These systems use rules and algorithms to identify transactions that may be suspicious, such as large cash deposits or withdrawals, unusual patterns of activity, or transactions with known criminals.
Transaction screening: involves screening transactions against watchlists of known criminals, terrorists, and other high-risk entities. This can also be done manually, but it is more efficient and effective to use automated transaction screening systems. These systems can screen transactions against watchlists in real time, which means that they can intercept suspicious transactions before they are completed.
Stay ahead of evolving regulations and sophisticated money laundering techniques with FOCAL’s unified platform. Leverage advanced ML Models and Agentic AI to reduce false positives and enhance operational efficiency.
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