Building an internal LLM assistant: 5 essential rules
An internal AI assistant is more than a chatbot. It needs a knowledge base, permissions and high-quality data.
Organizations are connecting LLMs to internal knowledge bases so employees can find answers faster. This saves time but raises security requirements.
The essential rules are data classification, prompt-injection protection, audit logs, human oversight and clear evaluation metrics.



