Building institutional memory into an AI app involves capturing and indexing unstructured data—like emails, chats, and documents to ensure the model has access to the organization's unique "tribal knowledge." By utilizing technologies like Retrieval-Augmented Generation (RAG), companies can move beyond generic AI responses to provide context-aware insights that reflect their specific history, culture, and expertise. This approach transforms a standard LLM into a powerful repository of internal intelligence that stays within the company even as employees move on.