WebSalte Conversional Assistant
Client
Management and Consulting
Sector
IT Services
Revenue
€ 732.000
Client
Management and Consulting
Sector
IT Services
Revenue
€ 732.000
From challenge...
The corporate website offers identical content to all users, without guidance or personalization: low engagement, superficial interactions, and poor support for business goals in an AI-driven market.
...to result
Thanks to the integration of Generative AI, the website provides reliable and accurate answers, while conversational navigation makes content exploration simple and intuitive. With semantic search and a structured knowledge base, finding information becomes immediate and effortless. Additionally, the conversational assistant makes each visit more engaging, with interactive and dynamic content that transforms the website into a unique experience.
From challenge...
The corporate website offers identical content to all users, without guidance or personalization: low engagement, superficial interactions, and poor support for business goals in an AI-driven market.
....to result
Thanks to the integration of Generative AI, the website provides reliable and accurate answers, while conversational navigation makes content exploration simple and intuitive. With semantic search and a structured knowledge base, finding information becomes immediate and effortless. Additionally, the conversational assistant makes each visit more engaging, with interactive and dynamic content that transforms the website into a unique experience.
The solution
The solution transforms a traditional website into a conversational and experience-guided platform. Users interact with an AI assistant using natural language to explore services and expertise through guided conversations and interactive content.
Based on RAG architecture, the system combines Generative AI and internal documents to provide reliable answers, supported by a scalable cloud infrastructure and semantic search.
- Conversational navigation that replaces static page consultation.
- Reliable AI responses based on the company's internal documents.
- Scalable cloud architecture with semantic search capabilities.
Technology stack
The solution is based on a Retrieval Augmented Generation (RAG) architecture. Instead of relying only on the language model, the system retrieves relevant information from a structured knowledge base before generating each response.
- Generative AI and RAG: Large Language Models generate answers grounded in company documents, improving accuracy and trustworthiness
- Cloud infrastructure: the platform runs on Google Cloud Platform using scalable, container-based services that automatically adapt to traffic demand
- Data and content management: documents are securely stored, indexed and searched using semantic search and vector databases