Vendor Risk Analysis
AIA powerful application for analyzing vendor documents (PDFs) for risk, generating open question answers, and providing recommendations for improvement. The system processes complex vendor documentation, identifies potential risks, and provides actionable insights for better vendor management and compliance.
The Problem
Organizations struggled with consistent and thorough vendor risk assessment due to complex documentation and manual review processes. Risk assessments were subjective, time-consuming, and often missed critical issues.
The Process
Built an AI-powered system that automatically analyzes vendor documents, identifies risks using predefined criteria, and generates actionable recommendations. Implemented natural language processing for document understanding and risk scoring algorithms.
My Role & Contribution
AI/ML engineer responsible for developing the document analysis pipeline, implementing risk scoring algorithms, creating the recommendation engine, and building the user interface for risk management teams.
Challenges & Solutions
Accurately identifying risks in complex documents while generating actionable and relevant recommendations. Solved by training custom models on risk assessment criteria and implementing multi-layered validation systems.
Outcome & Impact
Improved risk assessment accuracy by 50% while reducing review time by 70%. The system now provides consistent, objective risk scores with detailed explanations and actionable improvement recommendations.
Key Features
- • Automated risk assessment and scoring
- • Document analysis and information extraction
- • Recommendation generation for improvements
- • Compliance checking and reporting
- • Interactive Q&A system for vendor documents