AML AI Assistant
Introduction
Dotfile leverages Large Langue Models (LLM) to streamline decision-making on AML screening hits. With our AI Assistant, over 90% of hits are pre-qualified by artificial intelligence, significantly accelerating the processing of Anti-Money Laundering and Countering the Financing of Terrorism screenings. This innovation reduces the manual effort required for alert management while maintaining high accuracy.
Key Features of the AI Assistant
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Contextual Analysis of Alerts
Each hit is reviewed and pre-qualified by the AI Assistant, which provides specific insights and tailored comments to simplify justification and ensure transparency.
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High-Volume, High-Precision Processing
The AI efficiently processes large volumes of hits with accuracy and without subjective biases in AML hit qualification.
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Human-in-the-Loop Flexibility
Human reviewers retain ultimate control, with the ability to validate the AI’s work before the final approval of the AML check.
Enhanced Review Interface
Dotfile provides a user-friendly interface focused on speed and clarity for managing AML hits.
- Enhanced filtering options: Easily filter by AI review types (true positives, false positives, or those needing manual review) and by list type (sanctions, adverse media, etc.).

- Bulk action capabilities: Perform mass actions like discarding hits or declaring true hits on the filtered list, with AI-suggested comments automatically prefilled to enhance speed and efficiency.

Select all the pre-qualified hits and mass discard them as per the AI recommendation

Review the AI-generated comments on all the hits before final validation
Updated 5 months ago