Integrated AI and Enterprise Intelligence with LLMs and RAG by Felix Huchzermeyer

Fine-tuning LLMs wasn’t effective for their use case - RAG (Retrieval Augmented Generation) proved to be a better solution

Created a one-click AI solution for internal auditors without requiring AI/technical expertise:

• Integrated directly into existing audit management workflows
• No need for manual copying/pasting between systems
• Automated prompt generation in background

System provides transparency and trust through:

• Showing which documents were used as context
• Displaying confidence scores and sources
• Allowing users to verify source documents

Implementation focused on data privacy and security:

• Self-hosted solution keeping data within company infrastructure
• Support for different LLM options (Llama 7B, 70B)
• Role-based access control for document usage

Key business benefits:

• Reduces audit planning time from hours/days to seconds
• Achieves 60-70% accuracy in initial proposals
• Saves 3-4 hours per audit for organizations
• Affordable implementation using standard hardware

Architecture features:

• Multiple RAG databases for different knowledge domains
• Document management system with automated embedding generation
• User management and access control
• Configurable AI model backend

System helps prevent unauthorized AI tool usage by providing compliant alternatives employees can officially use