Cases
AI Automation

Whisper Call Analysis Pipeline: Turning Recordings into Coaching Recommendations

Built an automated workflow that processes batches of sales calls: Whisper transcription → NLP analysis → structured insights and next-day script improvement recommendations.

Result · • Demo shipped: audio → recommendations. • Ready for production hardening.

Context

Sales teams record calls, but reviewing them is manual and inconsistent. The goal was to convert unstructured audio into actionable coaching recommendations quickly.

My role

Founder / Builder (product design, workflow design, implementation, demo).

Discovery

• Defined what “useful” means for end users (what helps tomorrow’s calls). • Tested different summary/insight formats for actionability. • Designed the pipeline for repeatability and batch processing.

Solution

• Batch call processing with Whisper transcription. • NLP analysis and recommendation generation. • Packaged outputs into a structured, easy-to-consume report for coaching and script iteration.

Result

Working demo delivered: end-to-end pipeline (audio → transcript → insights → recommendations) ready to showcase and iterate into production.

Tools & methods

OpenAI WhisperNLP conceptsworkflow automationrapid prototypingproduct design for operational tools.