In complex organizations, corporate knowledge is scattered across documents, databases, manuals, research and internal procedures. This project was designed to make that knowledge easily accessible while respecting domain specific requirements and ensuring high reliability.

An Italian multi-brand company operating across multiple domains, with knowledge needs spanning production, marketing, R&D and corporate functions.

The company faced several challenges related to knowledge access and governance:

  • Managing a large, heterogeneous and highly specialized knowledge base
  • Providing accurate, contextualized answers while avoiding hallucinations
  • Supporting use cases that could not be standardized across departments
  • Enforcing access rights and data segregation
  • Combining structured and unstructured data sources
  • Preserving visual elements, such as illustrations in technical manuals

BitBang designed and delivered five conversational AI assistants, each powered by a tailored RAG architecture optimized for a specific domain.

Key elements of the solution include:

  • Modular RAG architectures adapted to domain specific needs
  • Specialized components such as text to SQL, image processing and metadata extraction
  • Routing and source selection agents to control context and reliability
  • Full enforcement of access rights and data segregation
  • Continuous improvement driven by feedback from key users
  • Adoption of the Model Context Protocol to support future evolution
  • Fast and reliable access to enterprise knowledge
  • Significant reduction in time spent searching for information
  • Increased daily productivity across departments
  • Effective support for complex, domain specific use cases
  • Controlled use of LLMs, with minimized hallucination risk

The AI assistants support the following areas:

  • Production line troubleshooting and instructions
  • Market research and survey analysis
  • Exploration of R&D documentation and scientific papers
  • Interactive manuals with visual support
  • Internal policies and procedures

“The AI assistants transformed how employees access internal knowledge, dramatically reducing search time and improving everyday operational efficiency.”

- Head of Digital Innovation, Multi-Brand Company