Context, need 📍

Industry Context :
As a major player in electricity distribution, fast and reliable access to procedures, regulations, and internal documentation is critical for operational efficiency and customer service quality.

Business Challenge :
The client faced a fragmentation of its AI initiatives. Several regional departments were independently developing RAG solutions, creating an urgent need for harmonization. The goal was to consolidate these efforts into a unified, enterprise-grade platform (RAG-as-a-Service), capable of serving more than 2,000 expert users across regional centers in a standardized, high-performance, and user-friendly way.

Technical Challenge :
The company was seeking a solution that could :

• Manage multi-LLM complexity, including advanced models like Mistral AI
• Ensure enterprise-grade security and flawless compliance, critical in the energy sector.
• Enable immediate scalability to cover all regional entities.
• Offer Low Code accessibility for non-technical users to democratize AI.

 

Implemented approach, solution and key success factors 🛠

Solution :

ILLUIN Technology deployed its ILLUIN Dialogue platform, leveraging the power of Amazon Bedrock. This strategic choice enabled the creation of a comprehensive and high-performance solution, ensuring the client full technical sovereignty within its secure AWS environment.

Key Technical Components :

• Amazon Bedrock : Used as a unified interface to access LLMs (including Mistral AI) while ensuring secure management and observability
• ILLUIN Dialogue : The orchestration layer providing advanced RAG pipelines, user management, and a Low Code interface
• Secure AWS Infrastructure : Fully deployed within the client’s cloud environment for maximum compliance and security
• Advanced, Optimized RAG : Custom RAG mechanisms implemented to maximize answer relevance across internal documentation corpora

Implementation approach :

The project approach was structured to ensure both adoption and quality :

• Secure Foundation Design : Establishment of infrastructure fully aligned with the client’s security and governance policies
• LLM Integration and Validation : Integration and testing of LLM models via Bedrock to ensure performance on the client’s specific use cases
• Incremental Deployment : Gradual roll-out to administrators, followed by migration of existing use cases to minimize disruption
• Training and Support : Training of 2,000+ users to ensure fast and efficient tool adoption

Advanced features :

• Multi-LLM Management by Use Case : The platform dynamically selects the most suitable LLM (e.g., Mistral AI) depending on question type or documentation
• Low Code User Interface : Simplifies creation of new RAG pipelines and integration of new data sources by business teams
• Compliance and Granular Access Management : Implementation of precise access controls for sensitive information handling

 

Technical stack 🤖

ILLUIN Dialogue | RAG platform |RAG orchestration, user interface, data and access management

 

 

 

Amazon Bedrock | LLM Foundation | Access to foundation models, API management

 

 

 

Mistral AI, other models via Bedrock | LLM Models | Response generation and semantic analysis

 

 

Amazon Web Services (AWS) | Cloud Computing | Secure and compliant hosting infrastructure

 

 

 

Native AWS Services, Client Policies | Security/Compliance | Access control, encryption, and traceability

      

 

 

Results, benefits ✨

Major Quantitative Impacts :

• Large-Scale Adoption : Platform adopted by over 2,000 expert users across all regional centers
• Operational Efficiency : Significant reduction in information search time, allowing experts to focus on higher-value tasks
• Increased Reliability : Improved accuracy and consistency of responses, leading to better execution of procedures

Strategic and Qualitative Benefits :

• AI Standardization : Transition from fragmented initiatives to a governed, enterprise-wide industrial RAG model
• Accelerated Innovation : Simplified access to AI tools (Low Code) has accelerated the development of new use cases
• Enhanced Governance : The client now has a centralized, secure foundation for all future generative AI initiatives
• Knowledge Sharing : Improved collaboration and knowledge exchange between regional centers

 

Conclusion

ILLUIN Technology’s support was the catalyst for this major energy provider’s AI-driven digital transformation. By deploying the ILLUIN Dialogue platform on Amazon Bedrock, ILLUIN not only solved the challenge of fragmented initiatives but also delivered a robust, secure, and highly scalable RAG-as-a-Service infrastructure.

This success demonstrates ILLUIN Technology’s ability to transform isolated AI experiments into industrial-grade solutions that deliver immediate operational efficiency gains and prepare the company for the future of augmented knowledge.

 

Useful links 🔗

⚙️ Discover the ILLUIN Dialogue platform
💡 See another success story combining ILLUIN Dialogue and AWS