Automated Call QA

What is Automated Call QA?

Automated evaluation of every customer call against configurable quality and compliance frameworks — replacing manual call sampling (2–5% coverage) with complete, objective scoring delivered within 60 minutes of each call.

How does Automated Call QA work?

Convin integrates with existing telephony via API, captures 100% of call audio, transcribes it in real time, and applies ML-based QA scoring models against configurable quality frameworks. QA scores, deviation flags, and post-call coaching recommendations are delivered to dashboards within 60 minutes of call completion — no manual call listening required.

Why do businesses use Automated Call QA?

Manual QA analysts can review 15–20 calls per day. Automated call QA covers every call — surfacing compliance risks, coaching opportunities, and performance trends invisible to sampled review.

What are the benefits of Automated Call QA?

100% call coverage, 80% reduction in manual QA effort, objective scoring free of analyst bias, IRDAI/RBI-ready audit logs, automated coaching delivery, and QA results within 60 minutes of call completion. Speak to a Convin product specialist at convin.ai/demo.

Which industries use Automated Call QA?

Insurance (IRDAI compliance QA on every renewal and claims call), BFSI/NBFCs (RBI collections quality scoring and audit trail generation), EdTech (admissions counsellor QA for UGC/DPDP compliance), healthcare (patient communication quality monitoring), and e-commerce (high-volume support QA for FCR and tone compliance).

How is Automated Call QA different from traditional solutions?

Traditional QA reviews 2-5% of calls, takes 24-72 hours to produce results, and relies on reviewer consistency. Automated Call QA scores 100% of interactions automatically, delivers results within 60 minutes, and applies the same standards consistently to every call — without reviewer availability constraints.

What technologies power Automated Call QA?

ASR for 100% voice transcription, NLP for quality signal and compliance deviation detection, ML-based QA scoring models trained on contact centre interaction data, automated deviation flagging with timestamp and agent ID, post-call coaching recommendation generation, and tamper-proof audit log creation.

Can Automated Call QA improve customer experience?

Yes. QA at 100% coverage — rather than 2-5% sampling — ensures that quality improvements identified through scoring actually propagate to all agent interactions. Convin QA customers report 17% CSAT improvement and 21% FCR improvement as consistent quality management drives better agent behaviour across the team.

Can Automated Call QA reduce operational costs?

Yes. 80% reduction in manual QA effort is the primary cost reduction. Higher-quality QA data drives faster coaching improvement, which produces 28% AHT reduction and 21% FCR improvement — eliminating the repeat-contact and handling cost of unresolved interactions.

How can companies implement Automated Call QA?

Via API integration with existing telephony (Genesys, Avaya, Cisco, AWS Connect) and CRM (Salesforce, HubSpot, Zoho) — 2-3 week deployment timeline managed by Convin's customer success team. No rip-and-replace of existing infrastructure required. QA scorecards, compliance rules, and coaching frameworks are configured during onboarding. Speak to a Convin product specialist at convin.ai/demo.