AI Voice Agent Development — Replace Your Receptionist for Less

Your phone rings after hours. No one answers. That lead goes to your competitor. This happens to thousands of small businesses every single day — and it's completely preventable. ZROXZ builds AI voice agents that answer every call, 24/7, handle the conversation naturally, book appointments, and log everything to your CRM. No salary, no sick days, no missed leads.

Proven Results: Evinn.pk Case Study

For Evinn.pk, ZROXZ deployed an AI voice agent using VAPI that now handles their entire inbound call flow. The results:

Read the full Evinn.pk case study →

What Our AI Voice Agents Handle

• Answer inbound calls with a natural, branded greeting
• Understand caller intent through natural language processing
• Book appointments directly into your calendar (Google, Calendly, GHL)
• Answer FAQ questions about your business, hours, pricing, and location
• Collect caller name, phone, and reason for call
• Log all call data and transcripts to your CRM automatically
• Transfer to a human agent when needed (warm handoff)
• Send follow-up SMS or email after every call

The Technology Behind Our Voice Agents

We build with the most reliable voice AI infrastructure available:

• VAPI: Enterprise-grade voice AI with ultra-low latency and natural conversation
• Bland AI: Highly customizable voice platform for complex call flows
• Retell AI: Cost-effective option for high-volume deployments
• Twilio: Phone number provisioning and SMS integration
• GoHighLevel: CRM logging, pipeline updates, and follow-up automation

The True Cost of a Human Receptionist vs. AI

A full-time receptionist costs $35,000–$55,000/year when you include salary, benefits, payroll taxes, and turnover costs. They work 8 hours a day, 5 days a week. An AI voice agent from ZROXZ costs $1,500–$3,000 to build and $50–$200/month to run — and it works 24/7, 365 days a year.

That's why our clients see full ROI within the first 30 days. See the full cost comparison →

Who Is This For?

• Dental clinics and medical practices with high inbound call volume
• Real estate agents who can't answer every inquiry immediately
• Law firms, accountants, and service businesses with appointment-based models
• E-commerce and local businesses getting after-hours calls
• Any business losing leads because the phone isn't always answered

How ZROXZ Deploys Your AI Voice Agent

1. Discovery (Day 1–2): Map your call scenarios, common questions, and CRM setup
2. Voice & flow design (Day 3–5): Design conversation flows, booking logic, escalation paths
3. Build & integration (Day 6–11): Build on VAPI/Bland, integrate CRM and calendar
4. Testing (Day 12–13): Test with real call scenarios across dozens of variations
5. Go live (Day 14): Deploy to your phone number and monitor first week closely