CASE STUDY 04 // SPEECH AI AT SCALE
Enterprise Speech Call Intelligence (~8,000 Calls/Day)
High-throughput speech analytics and regulatory compliance auditing platform processing ~8,000 calls daily with OpenAI Whisper transcription, speaker diarization, sentiment tracking, and automated scorecards.
DAILY AUDIT VOLUME
~8,000 Calls / Day
AUDIT COVERAGE
100% Automated QA
SPEECH STT MODEL
OpenAI Whisper
COMPLIANCE AUDITING
SEBI Mandate Check
Operational Impact & Architecture
Replaced manual 2% random sampling with 100% automated supervision across approximately 8,000 speech audio files daily. The platform transcribes multi-minute investor calls, isolates agent vs. investor speech channels, evaluates mandatory script adherence, and flags regulatory risks in real time.
- High-throughput batching pipeline with Azure Storage Queues and GPU-accelerated Whisper transcription.
- Automated QA scorecards measuring verification compliance, empathy, and query resolution.
- Instant flagging of statutory disclosure omissions (e.g., mutual fund market risk disclaimers).
- Aggregated agent coaching metrics and sentiment drift analytics synced directly to management dashboards.
Contact Dhruv Dixit for Speech AI & Call Intelligence Systems →