This project is an automated n8n workflow designed to identify emerging business risks by analyzing data from multiple operational sources such as orders, inventory, payments, and customer support.

The system consolidates business data, normalizes and analyzes the information, and uses AI to detect potential risks, identify supporting evidence, and classify each issue by severity.

Key Features:

Automated collection of business data
Multi-source data consolidation and normalization
AI-powered risk analysis
Detection of emerging operational and business risks
Evidence-based risk summaries
Automatic risk classification: Low, Medium, High
High-risk alerts via email
Automated risk logging for tracking and monitoring
Scheduled workflow execution
Structured AI outputs for reliable downstream automation

Workflow:
Data Collection → Data Normalization → Risk Analysis → AI Evaluation → Risk Classification → Alert & Logging

The goal is to help businesses detect potential problems earlier, understand the factors behind each risk, and automatically trigger the appropriate action.