title: "Glean Autonomous Agents: Self-evaluating with the context and security you need to automate at scale"

Autonomous agents are evolving to automate complex, multi-step workflows within the enterprise, moving beyond simple AI assistance. For these agents to deliver value, they must be grounded in a company's specific knowledge, have the ability to take action across systems, and operate under robust security and governance. A proposed framework for building reliable agents involves a three-stage process: planning the task, self-evaluating the reasoning and quality of the work, and securely acting on the results. This model emphasizes the critical need for agents to access reliable, permission-aware context to ensure they can be trusted to automate work at scale.