My Role: I led the design, development, and deployment of this AML (Anti-Money Laundering) solution, collaborating with a team of AML experts. Two freelance developers from India built the front-end, while I managed the back-end development using Google Cloud Functions, trained the models using Vertex AI, and oversaw project management.
🎯 Overview
This solution, developed for a vehicle dealership in Ecuador with a nationwide network of approximately 20 branches, automates the AML (Anti-Money Laundering) and due diligence processes managed by the compliance officer. It incorporates various forms and models for analyzing and extracting relevant data from PDF documents like contracts, and includes a dedicated module for scoring, predictions, and risk level identification based on a matrix and predictive models.
✨ Key Features
🤖 AI-Powered Risk Assessment
- Multi-factor risk analysis
- Automated due diligence processes
- Machine learning-based decision support
- Real-time regulatory compliance checking
🔄 Dynamic Adaptation
- Sector-specific parameterization
- Custom form generation
- Automated client communication
- Intelligent data collection
👥 Stakeholder Management
- Customer risk profiling
- Supplier evaluation
- Employee assessment
- Product risk analysis
- Channel monitoring
🛠️ Technical Stack
AI components
- GCP Vertex AI Vision
- RAG (Retrieval-Augmented Generation)
- Fine-tuned ML & vision models
- Natural Language Processing
🔒 Key Benefits
- Risk Reduction: Comprehensive risk assessment across all business aspects
- Efficiency: Automated processes reduce manual workload
- Compliance: Built-in regulatory compliance checks
- Adaptability: Customizable to different business sectors
- Integration: Seamless connection with existing systems
📬 Contact Information
