How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work

Enterprise search is evolving into a comprehensive AI-driven work assistant, fundamentally changing how knowledge workers interact with corporate data. Glean, led by CEO Arvind Jain, bridges the gap between private enterprise information and large language models by utilizing a RAG-based architecture that prioritizes security, permissions, and semantic relevance. Unlike generic AI applications, this approach relies on a deep knowledge graph to rank results accurately, ensuring that AI agents provide context-aware, actionable insights. By establishing a secure, integrated data foundation, organizations can transition from simple search queries to complex, agentic workflows that automate daily tasks. This shift marks a move toward proactive AI companions that not only answer questions but also manage workflows, ultimately allowing employees to focus on higher-level problem-solving as AI handles the majority of routine knowledge work.