title: "How to build AI chatbots for enterprise teams with Glean"

Building effective AI chatbots for enterprise use requires overcoming challenges like data silos, security permissions, and model hallucinations. A successful strategy relies on three key pillars: a solid data foundation using Retrieval-Augmented Generation (RAG), flexible workflows for creating custom agents, and a robust evaluation framework. This approach ensures the chatbot is grounded in company-specific context, respects user permissions, and delivers measurable value. Ultimately, this allows for the creation of trusted, permission-aware AI assistants that can be safely deployed across an organization.