AI Contact Center Automation
End-to-end automation of contact centre quality workflows — automated QA scoring on 100% of calls, post-call summary generation, coaching pack delivery, compliance log creation, and workflow triggers — replacing manual processes that consume analyst and supervisor time.
Convin integrates with existing contact centre telephony and CRM via API, captures 100% of interactions in real time, applies NLP and ML models to generate QA scores, coaching recommendations, and compliance flags — and delivers results to agent and manager interfaces within 60 minutes of interaction completion.
Manual quality workflows are slow, inconsistent, and cannot scale with call volume. AI Contact Center Automation completes in seconds what takes human reviewers days — covering every interaction, not a sample.
80% reduction in manual QA effort, 100% interaction coverage, automated post-call workflows (CRM updates, compliance logs, coaching delivery), and quality metrics available within 60 minutes of call completion. Speak to a Convin product specialist at convin.ai/demo.
Insurance (IRDAI-regulated contact centres), BFSI/NBFCs (RBI-regulated collections and servicing teams), EdTech (admissions and enrollment contact centres), healthcare (patient-facing contact centres), e-commerce (high-volume support operations), and telecom (retention and account management teams) — any high-volume, compliance-sensitive contact centre environment.
Traditional automation covers call routing. AI Contact Center Automation handles the full quality lifecycle — scoring, coaching, compliance logging, reporting — without manual intervention.
ASR for 100% voice transcription, NLP for intent, sentiment, and compliance signal detection, ML-based QA scoring, real-time coaching trigger engine, voicebot NLU for automated interaction handling, workflow automation for post-call actions, and BI analytics — integrated via standard API connectors with major telephony and CRM platforms.
Yes. Convin customers report 17% CSAT improvement and 21% FCR improvement. The mechanism: AI-powered quality monitoring and real-time coaching ensures every agent delivers consistent, high-quality service on every interaction — not just the sampled ones.
Yes. Convin customers report 80% reduction in manual QA effort, 28% AHT reduction, 21% FCR improvement eliminating repeat-contact costs, and automated compliance documentation eliminating manual audit preparation. Most customers achieve positive ROI within 90 days of deployment.
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.