Turning every customer call into explainable coaching data.
A real-time sales call evaluation system that converts streaming speech into structured, evidence-backed quality scores.
Headline outcome 30% manual → 100% automated coverage
System / 02Designed & engineered by Dharani
01 Problem → decisions → result
The challenge What made this
What made this
worth solving.
Manual review covered only a fraction of calls and produced inconsistent feedback. The system needed to listen in real time, preserve the supporting evidence, and make every score auditable.
The approach Engineering choices,
Engineering choices,
not feature lists.
- 01
Built a streaming speech pipeline with Soniox STT and AWS SageMaker for low-latency processing.
- 02
Structured the evaluation around observable call evidence instead of opaque, unsupported scores.
- 03
Designed the output for both fast operational scanning and deeper coaching review.
100%call coverage
Real-timespeech analysis
Traceablescoring evidence
The result What changed after
What changed after
the system shipped.
Audit coverage moved from 30% manual review to 100% automated evaluation, giving sales teams consistent, evidence-backed feedback across the full call set.
PythonSoniox STTAWS SageMakerFastAPIWebSocketsStructured outputs
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