Workbot Case Study # 1: Making AI Responses Stay Within the Boundaries of the Organisation's Own Data

The hardest trust problem in a private AI chatbot is preventing the model from answering questions using its general training knowledge instead of the organisation's actual data. A user asking about company policy should get the company's policy, not a plausible-sounding answer the model invented from its training. Getting retrieval-augmented generation to reliably ground every response in the uploaded knowledge base, and refuse gracefully when the answer was not there, was the central engineering challenge.