Automated Vendor Due Diligence Using Gemini and Jina AI

Overview

This workflow automates the vendor due diligence process by leveraging Gemini and Jina AI for comprehensive research and risk analysis. It orchestrates data collection, prompt generation, AI-driven assessments, and structured output parsing to deliver actionable insights efficiently.

Key Features

• Automated Intake: Initiates with a form trigger to collect vendor information.
• Research Automation: Uses HTTP requests and AI prompts to gather and analyze company background data.
• AI-Powered Risk Assessment: Employs Gemini for risk evaluation and link summarization, ensuring thorough analysis.
• Structured Output: Utilizes Langchain's structured output parser for organized, actionable results.
• Delays & Sequencing: Incorporates wait nodes to manage API rate limits and workflow pacing.

Benefits

• Efficiency: Reduces manual research time, enabling faster vendor onboarding.
• Consistency: Ensures standardized risk assessments across all vendors.
• Accuracy: Leverages advanced AI for deeper, unbiased analysis.
• Scalability: Handles multiple due diligence requests simultaneously.

Use Cases

• Procurement teams automating vendor onboarding.
• Compliance departments streamlining risk reviews.
• Organizations seeking to enhance third-party risk management with AI-driven insights.