Intelligent Real-Time Financial Fraud Detection and Risk Scoring Engine

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Built by Cheng Siong Chin Cheng Siong Chin
Created on June 05, 2026

Description

How It Works
Automates fraud risk detection for financial transactions by analyzing real-time webhook events through AI-powered scoring. Target audience: fintech companies, payment processors, and banking teams preventing fraud losses. Problem solved: manual fraud checks are reactive and slow; automated detection catches suspicious transactions instantly. Workflow receives transactions via webhook, configures processing parameters, runs OpenAI GPT-4 fraud analysis, calculates risk scores, branches on risk level, holds high-risk transactions, alerts fraud teams, logs incidents, and documents evidence for compliance investigations.

Setup Steps
Configure webhook endpoint for transaction ingestion.
Set OpenAI API key and fraud detection prompts.
Connect Google Sheets for incident logging.
Enable email alerts to fraud team distribution list.
Map risk thresholds (high/low).

Prerequisites
OpenAI API key, webhook-capable transaction source, Gmail for alerts, Google Sheets access, incident tracking database.

Use Cases
Payment processors detecting card fraud, fintech platforms catching account takeovers

Customization
Adjust risk thresholds and scoring logic. Add phone/SMS alerts for urgency.

Benefits
Detects fraud within seconds, reduces financial losses by up to 90%

Nodes Used (7)

AI Agent
@n8n/n8n-nodes-langchain.agent
Google Sheets
n8n-nodes-base.googleSheets
HTTP Request
n8n-nodes-base.httpRequest
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Send Email
n8n-nodes-base.emailSend
Slack
n8n-nodes-base.slack
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured