Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

n8n Template Submission: AI Powered Multi Document Analysis & Recommendation Engine 1. Title AI Multi Document Analyzer with Smart Recommendations & Reporting How It Works This workflow automates i...

Best for

Document Extraction automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.crypto, n8n-nodes-base.switch, n8n-nodes-base.extractfromfile, n8n-nodes-base.code, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts
Workflow name: Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts

n8n Template Submission: AI-Powered Multi-Document Analysis & Recommendation Engine

1. Title

AI Multi-Document Analyzer with Smart Recommendations & Reporting

How It Works

This workflow automates intelligent document analysis by processing multiple uploaded files through parallel AI pipelines to extract insights, generate comparative analysis, and produce actionable recommendations delivered via email. Designed for business analysts, consultants, and researchers, it enables efficient synthesis of insights from diverse document types into strategic, data-driven conclusions. The workflow eliminates the manual effort of reviewing documents, identifying patterns, cross-referencing information, and formulating recommendations by orchestrating structured data extraction, routing content through specialized AI models (OpenAI and Claude), aggregating and validating results, and formatting professional-grade reports. End-to-end processing includes batch document ingestion, structured extraction, parallel AI analysis, comparative evaluation, recommendation generation, report formatting, and tracked delivery via Gmail.

Setup Steps

Configure NVIDIA NIM API credentials for creative content analysis
Add OpenAI API key with GPT-4 access for strategic evaluation
Connect Anthropic Claude API for technical assessment capabilities
Set up Google Sheets integration with read/write permissions
Configure Gmail OAuth2 credentials for automated report delivery
Customize analysis prompts and recommendation thresholds

Prerequisites

NVIDIA NIM API access, OpenAI API key (GPT-4), Anthropic Claude API key

Use Cases

Multi-vendor proposal evaluation, regulatory compliance document review

Customization

Adjust AI model parameters per analysis depth, modify recommendation scoring algorithms

Benefits

Processes multiple documents 90% faster than manual review, eliminates bias through multi-model

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Document Ingestion Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Workflow Configuration

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Generate Document Hash

Type / Role: n8n-nodes-base.crypto - crypto
Config choices: Version 1

Block 4 - Route by Document Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.4

Block 5 - Extract Text from PDF

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1.1

Block 6 - OCR Processing for Images

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Extract from Office Documents

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1.1

Block 8 - Merge Extracted Content

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 9 - Metadata Extraction Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 10 - OpenAI Model - Metadata

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 11 - Metadata Schema Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 12 - Forgery Detection Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 13 - OpenAI Model - Forgery

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 14 - Forgery Analysis Schema

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 15 - Semantic Contradiction Detector

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 16 - OpenAI Model - Semantic

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 17 - Contradiction Schema Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 18 - Historical Document Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.3

Block 19 - OpenAI Embeddings

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 20 - Document Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 21 - Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 22 - Entity Enrichment Tool

Type / Role: @n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices: Version 1.3

Block 23 - Entity Enrichment Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 24 - OpenAI Model - Enrichment

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Showing the first 24 of 48 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts
Complexity	advanced
Nodes	48
Categories	Document Extraction, AI Summarization
Author	Cheng Siong Chin
Published	07 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12540/12540.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Cheng Siong Chin

203 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.crypto n8n-nodes-base.switch n8n-nodes-base.extractfromfile n8n-nodes-base.code n8n-nodes-base.merge @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 07 Jan 2026

Likes 0

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Install path: /data/workflows/12540/12540.json

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Assess document fraud risk and compliance with GPT-4, Claude and Slack alerts

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

n8n Template Submission: AI-Powered Multi-Document Analysis & Recommendation Engine

1. Title

How It Works

Setup Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Document Ingestion Webhook

Block 2 - Workflow Configuration

Block 3 - Generate Document Hash

Block 4 - Route by Document Type

Block 5 - Extract Text from PDF

Block 6 - OCR Processing for Images

Block 7 - Extract from Office Documents

Block 8 - Merge Extracted Content

Block 9 - Metadata Extraction Agent

Block 10 - OpenAI Model - Metadata

Block 11 - Metadata Schema Parser

Block 12 - Forgery Detection Agent

Block 13 - OpenAI Model - Forgery

Block 14 - Forgery Analysis Schema

Block 15 - Semantic Contradiction Detector

Block 16 - OpenAI Model - Semantic

Block 17 - Contradiction Schema Parser

Block 18 - Historical Document Vector Store

Block 19 - OpenAI Embeddings

Block 20 - Document Loader

Block 21 - Text Splitter

Block 22 - Entity Enrichment Tool

Block 23 - Entity Enrichment Agent

Block 24 - OpenAI Model - Enrichment

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions