100% call coverage with verbatim evidence, sentiment shifts, compliance flags and agent scoring — in Hindi, Hinglish and English. Built on AWS, in production at NBFC scale.
Convert every call into a structured, searchable record with risk, revenue and quality signals attached.
Every recovery call audited for tone, threat language and consent.
Detect mis-sold features and price misquotes before they become escalations.
Surface long-pending cases and recurring complaints by branch or product.
Coaching tied to exact call moments — not generic monthly reviews.
Recordings ingested from S3, transcribed in Hindi/Hinglish/English, enriched with sentiment and key phrases, summarised by Bedrock, stored in DynamoDB and Athena, surfaced in QuickSight. SNS pushes alerts the moment a flag surfaces.
Replacing a 2–5% manual QA sample with 100% AI-driven analysis surfaced ₹28 Cr in annual ROI from recovered risk, retention signals and freed QA capacity.
Conversation intelligence at 100% coverage exposed competitor mentions, purchase intent and EMI-compliance issues that had been invisible under manual QA.
A two-week shadow pilot — your recordings, our pipeline, your QA team comparing AI flags against their own sample.