QUALLIX AUDIT
Quallix Audit
An AI agent that audits every collection and compliance call, flags violations with the exact timestamp, and retires sampling-based manual QA.
TICKET #4021 · SLA 4H
The 98% you never listen to is where the risk lives.
Manual QA teams review 1–3% of calls. Everything outside that sample — threats, third-party disclosure, missed disclaimers, wrong settlement promises — reaches the regulator before it reaches your quality lead.
Quallix Audit listens to every call across agents, vendors, branches and languages, scores it against your own QA scorecard and RBI fair-practice rules, and attaches the transcript snippet that triggered each flag.
The result is a shift from sample-based opinion to full-coverage evidence: every conversation reviewed, every score verifiable in seconds, every dispute answerable with a record rather than a recollection.
HOW IT WORKS
From recording to reviewed in three steps.
- 01
Connect your call source
Plug into your existing dialer, PBX or recording store. No rip and replace, no change to how agents work.
- 02
Load your scorecard
Your QA sheet, weights, thresholds and regulatory rules are configured without code, then calibrated against your own calls.
- 03
Audit every call
Each call is transcribed, scored and flagged automatically, with dashboards by agent, vendor and branch.
CAPABILITIES
Built for evidence, not sampling.
100% call coverage
Every call audited across agents, vendors and languages — no sampling queue, no backlog.
Your scorecard, your weights
Scoring runs against the QA sheet your team already uses, calibrated to your lead's judgement.
Timestamped risk flags
Each violation carries the exact timestamp and transcript snippet that triggered it.
Fair-practice rule packs
RBI fair-practice checks, disclosure requirements and disclaimer rules applied on every call.
Vendor and branch views
Compare performance and risk across agents, vendors, branches and campaigns over time.
Dispute-ready trail
Immutable audit records and exports you can hand to a regulator, client or internal committee.
Move from a 1–3% sample to 100% coverage.
Built by AnalyticsM, a product of Aashiva Analytics Private Limited — in production since June 2023.