AML Compliance

An integrated AML compliance platform for due diligence, sanctions screening, transaction monitoring, regulatory reporting and more

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One solution, no silos

Alessa provides all the anti-money laundering (AML) capabilities that banks, money services businesses (MSBs)Fintechscasinos and other regulated industries need – all within one platform. The solution integrates with existing core systems and includes:

  • Identity verification and customer due diligence for KYC/KYB
  • Real-time transaction monitoring and screening
  • Sanctions, PEPs, watch list, crypto and other forms of screening
  • Configurable risk scoring
  • Automated regulatory reporting
  • Advanced analytics like anomaly detection and machine learning
  • Dashboards, workflows and case management

 

Features & Benefits

Due Diligence

Real-time risk intelligence during onboarding so you know who you are doing business with

Transaction Screening

Monitor all transactions to intercept suspicious activities for investigation

Sanctions Screening

Real-time and periodic screening to detect high-risk entities and activities

Regulatory Reporting

Automated creation, validation and e-filing of SARs, CTRs, STRs for various jurisdictions

Risk Scoring

Realistic assessment of risks based on entity profile and activity that is configurable

Investigation Tools

Workflows, case management that engages the entire organization in compliance

Deeper risk intelligence

Alessa includes APIs for integration with onboarding systems to verify identities and search sanctions, politically exposed persons (PEPs), OFAC, and proprietary lists in real time. Use this information to update the risks associated with an entity.

 

True picture of risks

Alessa leverages data from various sources to create a risk score. Risk factors, weights, scores, and aggregates are all configurable by the organization to match their risk appetite and tolerance.  Periodic reviews are managed by workflows and scores are updated based on the entities’ activities.

 

Review customer activity

With Alessa, monitor every financial activity to get a holistic view of customer activities.  The solution generates alerts for suspicious activity and sends them to the appropriate personnel for investigation and reporting.

 

Rules-based and advanced analytics

With regulatory enforcement and operations applying significant pressure on organizations, fraud is no longer an acceptable “cost of doing business”. Alessa uses both rules-based and advanced analytics, like anomaly detection and machine learning, to detect suspicious transactions that are out of character and exceed the risk tolerance of the organization.

 

Make investigations easier

Flagging potential issues is just half the solution.  Alessa has a highly configurable workflow module that facilitates collaborative case management and investigation.  Investigators can search the repository of alerts, cases, comments, etc., for related information to include in the current investigation.

 

Eliminate tedious reporting

Alessa offers automated regulatory reporting for currency transaction reports (CTRs), suspicious activity reports (SARs) and suspicious transaction reports (STRs). Reports are auto-populated, validated and electronically submitted to regulators,  including FinCEN, FINTRAC and jurisdictions using goAML.

 

RELEVANT SOLUTIONS

Identity Verification

Confirm identities accurately and efficiently with an entire process that can be customized to your specific needs. Scoring customization allows you to determine which data is most relevant to a specific case, so you can easily determine if your subject is who they say they are.

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Enhanced Due Diligence

Alessa now offers the ability to order EDD reports directly from the application. This allows compliance teams to go beyond simply checking whether an entity is on a sanctions or a watch list and instead get detailed background information on individuals and businesses.

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Fraud Prevention

The fraud detection and prevention capabilities offered by Alessa analyzes data from virtually any source and use advanced analytics to detect anomalies, suspicious transactions and likely cases of fraud.

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