AI call QA for BFSI collections call centers

Collections calls carry the most risk on a BPO floor. One missed disclosure, one skipped identity check or one badly worded line can become a complaint. A small manual sample cannot see most of those calls. CallPulse scores every call against your rubric, so the risky ones reach a reviewer the same day.

The problem with sampling collections calls

• Reviewers listen to a small share of calls, so most defects are never seen.
• Fatal errors (identity not verified, mandatory disclosure missed, wrong language for the borrower) are rare per call but costly, and rare events hide in samples.
• Hindi, English and Hinglish are mixed inside one call, and tools tuned for English transcripts miss what was said.
• Coaching waits for the next review cycle, so the same mistake repeats for weeks.

How CallPulse works on collections calls

1. You bring the rubric. Greeting and disclosure, identity verification, payment-promise capture, tone and language, call close. CallPulse scores calls against QA parameters you define, and fatal criteria are separate from the weighted score.
2. Every call is scored. Calls in Hindi, English and Hinglish are transcribed and scored against that rubric. Coverage is every call, not a sample.
3. Defects are surfaced, not buried. Fatal-criteria hits and the top defect types are listed first, per agent and per campaign.
4. Fields flow back. Fields such as promise-to-pay outcome are captured with each call, so QA and operations read from the same record.
5. It sits on top of what you run. CallPulse works with your existing telephony setup. You do not replace your dialer to start scoring.

What a reviewer sees

• A ranked list of flagged calls with the exact criterion that failed.
• The call timeline turn by turn, so the reviewer jumps to the moment instead of listening to the whole call.
• Trends by agent, team and campaign, to aim coaching where it matters.

Where AI voice agents fit

Reminder and early-stage calls can run on Qualia Voice, with a warm handoff to a human the moment a call needs one. The handoff carries the transcript and the fields already captured. The same rubric can score both human and AI-handled calls. See AI voice agents for loan collections.

Compliance and data

Transcript encryption is available, with role-based access controls. Read how rubrics map to regulator expectations in BFSI call QA in India and DPDP and call QA. Your compliance team owns the rubric wording.

FAQ

Can we use our own QA scorecard?

Yes. You define the criteria, weights and fatal checks. CallPulse scores against them.

Does it handle Hinglish?

Yes. CallPulse supports Hindi, English and Hinglish.

Do we need to replace our dialer or CRM?

No. CallPulse works with your existing telephony setup.

Does AI QA replace our QA team?

No. It reads every call so your reviewers spend their time on the flagged ones and on coaching. See does AI call QA replace human coaches.

How do we start?

Share a rubric and a set of recorded calls, and book a live demo.