---
title: "ROOT CAUSE ANALYSIS TOOL — Arfitect Case Study"
lang: en
source: https://www.arfitect.com/en/case-studies/root-cause-analysis-tool
---

# ROOT CAUSE ANALYSIS TOOL

## Client and sector

- Client: Borçelik
- Sector: Manufacturing (Steel)
- Project type: AI decision-support tool

## Arfitect's role

We built a system that helps engineers investigate recurring quality issues using structured data and process history. Through embedded memory and domain-specific logic, engineers can query production data and get AI-driven explanations while using templates created by colleagues.

## Architecture

- Private LLMs
- RAG
- Embedding Search
- Domain-Specific Logic

## Outcome

Automated Root Cause Analysis

## Related content

- Technical article: [Hybrid Search Approach for Enhanced Chatbot Performance Using Databases and Elasticsearch](https://www.arfitect.com/en/insights/hybrid-search-approach-for-enhanced-chatbot-performance-using-databases-and-elasticsearch)
- Technical article: [RAG Performance Comparison of Local SLMs and OpenAI LLMs](https://www.arfitect.com/en/insights/rag-performance-comparison-of-local-slms-and-openai-llms)
- Technical article: [What is RAG (Retrieval Augmented Generation)? What You Need to Know for an End-to-End RAG Project](https://www.arfitect.com/en/insights/what-is-rag-retrieval-augmented-generation-what-you-need-to-know-for-an-end-to-end-rag-project)