Educational institutions with large call centers face a scalability problem: reviewing advisor quality across financial aid, admissions, and enrollment calls is manual, slow, and expensive. With Databricks, GenAI can ingest calls, transcribe them with high fidelity, score advisor performance against an institutional rubric, and surface insights through natural language, all on a single governed platform. This blog walks through the approach with code notebooks and an example Genie space.