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

Description

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