How ZROXZ Built an AI Voice Agent Handling 80+ Daily Calls for Evinn.pk
Evinn.pk was losing 30+ leads per day to missed after-hours calls. ZROXZ deployed an AI voice agent in 14 days that now handles their entire inbound call flow — 24/7, with zero missed leads.
80+
Daily calls handled automatically
70%
Reduction in average handle time
0
Missed after-hours leads
14 days
From kickoff to live deployment
The Problem
Evinn.pk is a growing business in Pakistan serving customers who prefer to contact them by phone. Their team was handling calls manually — which worked fine during business hours. But after 6 PM, the phones went unanswered. Every missed call was a potential customer calling a competitor.
At an estimated 30+ missed calls per day, with a 20% conversion rate and an average order value of $50, the after-hours call problem was costing Evinn.pk an estimated $90,000+ per year in lost revenue. And that number was only growing as their business scaled.
Hiring a night-shift receptionist would have cost $15,000–$25,000 per year — and introduced new management overhead. They needed a better solution.
The Solution
ZROXZ proposed and built an AI voice agent using VAPI — a production-grade voice AI platform — that would answer every inbound call, handle the conversation naturally, take orders, answer common questions, and log everything to their CRM.
The solution had four key components:
- VAPI voice infrastructure: Ultra-low latency AI voice platform that ensures natural conversation without awkward pauses
- Custom conversation flows: Scripted and trained on Evinn's specific products, pricing, policies, and common customer questions
- CRM integration: Every call automatically logged with transcript, caller details, and order/inquiry information
- Escalation logic: Complex queries automatically escalated to a human via WhatsApp notification with full call context
How We Built It — Technical Breakdown
The build process ran over 14 days from kickoff call to live deployment:
Discovery & Mapping
Documented all call scenarios, common questions, product catalog, pricing, and escalation triggers. Built a conversation flow diagram covering 40+ possible call paths.
Voice Agent Build
Built the voice agent on VAPI with custom prompt engineering trained on Evinn's specific business context. Configured natural language understanding for Evinn's product names and customer vocabulary.
CRM Integration
Integrated with Evinn's CRM using n8n. Every call outcome — order taken, inquiry logged, escalation triggered — is automatically written to the CRM with full transcript.
Testing
Internal testing across 200+ call scenarios including edge cases, difficult questions, and attempted misuse. Refined conversation flows based on test results.
Soft Launch
Deployed to a secondary phone number and ran parallel testing with live calls monitored in real-time. Minor refinements made.
Full Go-Live
Switched the main business number to the AI voice agent. ZROXZ monitored the first 48 hours closely and made real-time adjustments.
The Results
Within the first 30 days of going live, the AI voice agent delivered:
- 80+ daily calls handled automatically — no human intervention required for standard inquiries
- 70% reduction in average handle time — the AI resolves calls in 2–3 minutes vs. 7–10 minutes for human agents
- Zero missed after-hours leads — every call is answered instantly, regardless of time or day
- Full call transcripts in CRM — management can review any call with complete context
- 15% reduction in escalations — as the AI learned from real calls, it became better at handling edge cases
The net result: Evinn.pk's after-hours revenue is now captured, their team spends less time on phone calls, and customer experience is more consistent.
"The AI handles our calls better than we expected. Our team is no longer stressed about missing leads, and the CRM logging means we have a complete record of every customer interaction. ZROXZ delivered exactly what they promised."
— Evinn.pk Client (name withheld for privacy)
Technology Stack
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