Every call, every outcome, every correction
Recordings, transcripts, customer outcomes (PTP kept, payment received, policy renewed), human-agent takeovers and compliance flags stream in as signals — 100% of calls, not a sample.
Every call scored on your rubric
Grounding, flow, compliance, tone. Failures are clustered: "repeated the EMI amount", "missed already-paid", "asked branch-or-link twice".
Redact first, then choose the lessons
Aadhaar, PAN, card and phone numbers masked in text and audio. Your best agents' calls and the corrected failures become the training set — approved by your reviewer.
Your model, your data only
Speech and language models fine-tuned per tenant. No shared brain. The weights are yours, stored in your environment for VPC and on-prem.
Proven before it speaks
The candidate replays 1,240 golden scenarios — barge-in, angry customer, already-paid, wrong number — with Hindi/English parity and frozen-line checks. Any drop blocks release.
A human signs. Canary. One-click rollback
Named approval from your QA or compliance owner, staged rollout 5% → 25% → 100%, automatic rollback on a guardrail breach.
Outcomes, not minutes
Containment, promise-to-pay, right-party contact, complaints and cost per resolved call — tracked per release, reported every morning. Then the next week begins.
