Conversational AI Customer Journey

AI that supports every stage of the customer journey — from first-contact qualification via voicebot, through agent-handled interactions with real-time coaching, to post-call follow-up automation and satisfaction monitoring — ensuring consistent quality at every touchpoint.

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.

Customer journeys break down at handoffs: voicebot to agent, agent to supervisor. Conversational AI ensures each handoff includes full context, each agent is coached for the specific stage of the customer journey, and post-call follow-up is automated.

Consistent customer experience across journey stages, context-preserving handoffs from bot to agent, real-time coaching tailored to journey stage (acquisition, retention, collections), and journey-level analytics that identify where customers drop off or escalate. 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 CX tools measure journey outcomes (CSAT, churn). Conversational AI analyses every conversation within the journey to identify what specific interactions drive positive or negative outcomes — enabling targeted coaching and process improvements.

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.