How might we automate the process of alert adjudication to enhance efficiency, consistency and reduce false positives?

How might we automate the process of alert adjudication to enhance efficiency, consistency and reduce false positives, while maintaining or improving compliance with regulatory standards?

The challenge aims to automate alert review or adjudication processes for alerts generated from screening devices. It should include name and payment screening and leverage machine learning through previous decisions taken by the first line of defence team.

Description

The challenge seeks to address the automation of the alert review and adjudication process for alerts generated from screening devices such as name screening and payments screening alerts.

The solution should address both the alert types i.e. Name Screening Alerts and Payment Screening Alerts.

1. Machine Learning-Powered Decision Making:

2. Data Sources and Historical Training:

3. Name and Payment Matching Algorithms:

4. Workflow Automation and Integration:

5. Continuous Learning and Feedback Loop:

6. Auditability and Compliance:

7. Scalability and Customization:

Expires on December 25, 2024

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