Glean on AI Agent Evals, Permissions, and Production Trust | Arize Observe 2026

Glean functions as an enterprise AI assistant and platform, connecting company knowledge with internal workflows. Building these systems requires strict adherence to enterprise permissions, where perceived technical bugs often stem from human error in source document management. Effective evaluation relies on a hybrid approach, grounding models in real-world organizational data while supplementing offline metrics with rigorous internal dogfooding and subjective human feedback. Debugging production AI necessitates isolating failures within specific modules and ensuring LLMs receive precise, non-conflicting context. As AI agents gain autonomy and elevated permissions, accountability becomes distributed, requiring engineers to maintain a transparent understanding of agent decision-making processes to prevent the proliferation of low-quality, automated output. Balancing AI-enabled acceleration with consistent human oversight remains critical for maintaining long-term system reliability and trust within complex enterprise environments.