Case study
RAG chatbot answering questions from 200 internal documents
An iGaming provider needed answers from its existing documentation without forcing the team into another tool.
The bottleneck
The team had the answers, but they were scattered across Google Drive and internal documents. Engineers, producers, and operations staff repeatedly interrupted colleagues to find information that already existed.
What CONSYSTEAM built
A RAG-powered assistant connected to the team’s working environment. It retrieves relevant source material from 200+ internal documents and returns a cited answer in seconds.
The system was designed around the documentation the team already owned. No content migration and no separate knowledge portal were required.
Delivery scope
- Document ingestion and retrieval architecture for 200+ internal documents
- Slack-based question-and-answer workflow
- Source citations with every answer
- Documentation and handover for the internal team
Result
The team can retrieve operational knowledge without waiting for a subject-matter expert. Existing documents became a usable system rather than an archive people searched manually.
