GRAPHEN
Graphen Artificial Intelligence

Persona Based Use Case 3

Use Ardi to detect Money Laundering

User 3, Risk Manager

William, Risk Analyst

Task: "I’m responsible for detecting any money laundering cases."


William is a Risk Analyst at Bank of America. He is responsible for flagging potential money laundering activities to protect the bank from paying millions of dollars of fines.




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Data

Leverage data on loans, counter parties, corporations, relationships, guarantee, phone and addresses and other information.


William can explore the relationship among clients and their profiles.


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Functionality and Strategy

Ardi platform allows users like William to analyze and visualize suspicious Money Laundering events.


Users are able to:

  • Concatenate and manage daily updated trade records data
  • Explore data and have a general insight using graph database quickly
  • Use functions such as egonet in graph analytics section to analyze network risks
  • Combine machine learning techniques such as supervised classification algorithm to analyze customer features and determine if they are risk of money laundering; labels are past SARs filed by the bank
  • Monitor the risks after the implementation of analysis and visualization using up-to-date data over time
  • Edit and export genomic analysis reports


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    Conclusion

    Ardi platform will help risk managers to detect potential money laundering activities and other financial crimes and protect financial institutions from it.


    Anita Finance
  • Core Banking Monitoring
  • Anti-Money Laundering
  • Non-Performing Loan Prediction
  • Market Intelligence
  • AI Trader
  • Know Your Customer
  • Due Diligence

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