Overview
A global industrial enterprise turned to Intuitive to create a secure, domain-aware knowledge assistant using large language models on Azure. The objective was to help employees access real-time answers from fragmented content in multiple languages across formats and systems.
Challenges
To enable scalable enterprise support, the client had to overcome several technical and linguistic roadblocks:
- Content scattered across multiple formats like PDFs and blogs
- Need for accurate, localized multilingual responses
- Inconsistent metadata blocking semantic linking
- High-volume usage needing low latency and persistent memory
Solution
Intuitive built an enterprise-grade LLM platform with the following components:
- Ingestion pipelines to normalize and structure content
- Redis-backed memory for persona continuity and session recall
- A graph-based semantic metadata layer for intelligent linking
- Real-time multilingual support using Azure NMT and Intento
Impact
The platform provided consistent, multilingual support while improving enterprise knowledge access:
- Faster decision-making with contextual, on-demand answers
- Centralized, secure access to critical enterprise information
- Reduced support load through LLM-powered automation
- Ongoing model refinement using real user feedback
