From Raw Audio to Actionable Data, Automating Call Center Triage with Cortex AI

Last Updated on August 19, 2026 by Editorial Team Author(s): Krishnan Srinivasan Originally published on Towards AI. Powered by AI_TRANSCRIBE, turning recorded support calls into a structured, queryable feedback table. A call center runs on a routine most of us know without ever having worked one. A customer calls in. An agent listens, resolves the issue, then spends a few minutes after the call typing notes, picking a category from a dropdown, and writing a summary for the next shift or the reporting dashboard. That last part, the typing, is where most of the delay and inconsistency creeps in. This post walks through a small pipeline that removes that manual step entirely. Three short support calls go in as raw audio. AI_TRANSCRIBE is the function that makes the whole thing possible, since every downstream step, the categorization, the summary, the resolution log, all exists because the call is now text a query can read. On a personal note, I was recently named a Finalist for AI Excellence in the Snowflake Community Awards 2026 (APJ region), and voting is now open. If this series, or any of the work I have shared, has been useful to you, I would genuinely appreciate your vote her…