Conversational AI Assistant for Banking
Client: European Banking Group
The project
Deployment of a conversational assistant built on GPT-4 and a RAG architecture connected to more than 50,000 internal documents (procedures, products, regulations). The assistant answers client advisors' questions in real time with 96% accuracy.
Architecture & implementation
Technical architecture: document ingestion and vectorization, indexing in a Pinecone vector database, orchestration with LangChain and fine-tuning of a banking-specific embedding model. Average response latency: 1.2 seconds.
Monitoring & adoption
Real-time analytics dashboard: conversation tracking, emerging topic detection, user satisfaction measurement and friction point analysis. More than 15,000 conversations processed per month.
Results & production rollout
Production deployment on secure cloud infrastructure with end-to-end encryption, full interaction logging and GDPR compliance. Continuous hallucination monitoring through cross-validation by a second LLM.
Screenshots
