Case Study: Veolia Energia Polska improves internal knowledge access with WEBSENSA’s Knowledge Chat

Veolia Energia Polska handles 2,500 queries in 2 months with WEBSENSA

Veolia Energia Polska, a leader in resource management and environmental services, faced a significant challenge with its employees struggling to access and retrieve information from a vast array of internal company documents, including technical and HR materials. To address this, they engaged WEBSENSA to develop the Knowledge Chat, an AI-powered conversational chatbot.

WEBSENSA implemented a solution leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to create a secure and efficient internal knowledge base. The results for Veolia included streamlined operations, enhanced decision-making, and reduced costs. In the first two months post-deployment, the WEBSENSA solution successfully handled approximately 2500 queries from around 400 users, demonstrating a substantial and measurable impact on internal efficiency.

Veolia Energia Polska