AI-Powered Call Analysis Workflow
Zargham Haider
Call analysts listened to recordings all day. I built a workflow that transcribes each call, reviews it with AI and files it in the CRM.
The Problem
Reviewing calls meant a person listening to each one from start to finish.
It took one or more full-time analysts, and that cost grew with the number of calls.
Manual review is slow and uneven. Mistakes get missed when someone has been listening for hours.
To learn what happened on a call, an admin had to find the recording and listen to it.
The Solution
I built a workflow that does the analyst's job after every call, with no one listening.
HOW DOES IT WORK?
From recording to transcript
When a call ends, the workflow picks up the recording and transcribes it. Nobody uploads or forwards anything.
An AI agent that reviews like a analyst
The transcript goes to an AI agent set up as a senior call analyst. It reads the whole call and writes a complete summary, including the mistakes it found and the quality of the call.
Find the call by customer number
The review is posted to the admin CRM with the full transcript and the recording attached as evidence. An admin types the customer's number and sees what happened on the call without listening to it.
Results
The workflow does the work of one or more call analysts.
Calls are reviewed as they finish, not when someone gets to them.
Every review has its transcript and recording next to it, so any finding can be checked.
Admins find any call by customer number.
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Posted Oct 2, 2026
Call analysts listened to recordings all day. I built a workflow that transcribes each call, reviews it with AI and files it in the CRM.
