AI-Powered Financial Compliance Tool
Automated money laundering detection for compliance.
Publishing / Finance
Web development
July 2019 - Jan 2020
iOS
About the product
Streamlined Detection Process
The tool automates the identification of money laundering mentions within articles, saving time and resources for the publisher.
Enhanced Knowledge Graph
By enriching the publisher's knowledge graph with accurate money laundering data, the tool improves the quality and usability of the information.
Compliance Strengthening
The AI-powered screening tool aids in compliance efforts by ensuring comprehensive monitoring of money laundering references.
Project Idea
A major publisher approached us seeking a web tool to identify money laundering mentions in articles and enrich their knowledge graph.
We were responsible for
Advanced Techniques Integration
Frontend & Backend Development
Quality Assurance
Deployment & Maintenance
The client had
Idea
Feature list
Project Team
Project manager
UX/UI designer
Backend engineer
Frontend enginee
Tech Stack
Python
Scikit-learn
LibSVM
PyTorch
Pandas
MLFlow
Creating UX personas
Key features in detail
The features you will find inside the solution.
Automatic data tagging for money laundering mentions
The tool automatically identifies and tags mentions of money laundering within articles, streamlining the detection process.
Integration with publisher's knowledge graph
It seamlessly integrates with the publisher's existing knowledge graph, enriching it with accurate data on money laundering references.
Customizable criteria for detection
Users can customize detection criteria to align with specific requirements and parameters, enhancing flexibility and accuracy.
User-friendly interface for easy navigation
The interface is designed to be intuitive and easy to navigate, ensuring a smooth user experience while using the tool.
Development process
Here is how we created the web tool
Ideation
Helping our clients to polish the idea.
Research
Exploring users and competitors.
Design
Wireframes and final UX/UI.
Development
Wireframes, prototypes, and final UX/UI.
Testing
Manual and automated tests.
Development challenges and solutions
Problem
Insufficient training data for accurate money laundering mention extraction.
Solution
We’ve developed a pipeline for automatic data tagging based on article topics related to money laundering, enhancing the knowledge graph's quality and usability.
What we have now
The web solution has been successfully launched and is empowering the client to strengthen their financial compliance efforts.
