Glean

From Ambient Documentation to Clinical Intelligence — Chaitanya Asawa, Abridge

Aug 19, 2026 · 21:35

Chaitanya Asawa of Abridge argues that everything in healthcare sits downstream of the doctor-patient conversation, and that the administrative machinery around it can be automated. Abridge began with clinical documentation to end 'pajama time' and reached 300 of the largest US health systems in two to three years. For its contextual clinical decision support, quality is paramount because the generator-verifier gap is tiny; Abridge has physicians write independent rubrics, adjudicated into a final rubric, with expert-calibrated LLM judges scoring responses. At a run rate of 100 million medical conversations a year, Abridge decomposes each note into sections and post-trains smaller models per section, betting its unique dataset and narrow problems can outrun frontier models.

How to build Enterprise Aware Agents - Chau Tran, Glean

Jul 24, 2025 · 19:53

Chau Tran, a software engineer at Glean, contends that building enterprise-aware agents requires combining workflows and agents via workflow search instead of choosing one over the other. Workflows offer predictability for repetitive tasks, while agents bring open-ended flexibility for novel tasks. Their synergy lets workflows evaluate and train agents, and agents discover new workflows. For training, fine-tuning works well for generalized behaviors with stable data, while dynamic prompting with search excels at personalized tasks and rapid requirement changes—like building custom hardware versus writing software. Workflow search combines textual similarity with authoritativeness signals from knowledge graphs to pick the right workflow among many similar options.