Voice AI Customer Service Agent
Multi-agent voice system that handles inbound calls, resolves common issues, escalates complex cases, and provides 24/7 phone support.
🎯 Buy once, deploy on any framework
Includes implementations for CrewAI. One purchase — all platforms.
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- ✓ All 1 platform implementations
- ✓ Full source code & documentation
- ✓ Commercial license included
- ✓ 30-day money-back guarantee
- ✓ Free updates for 1 year
- ✓ 30-day email support
Choose Your Platform
One purchase includes all 1 implementations. Deploy on whichever framework fits your stack.
CrewAI
CrewAI crew with 4 specialized agents and production-ready tools.
Included in CrewAI version
- ✓crew.py with 4 agents
- ✓Custom tools
- ✓Config templates
- ✓Deployment guide
⚡ Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup — OpenClaw gets you to production in minutes.
Code Preview — CrewAI
from crewai import Agent, Crew
call_handler = Agent(role='Call Handler', goal='Natural voice interactions', tools=[voice_synth, speech_rec])
resolver = Agent(role='Resolution Agent', goal='Resolve issues automatically', tools=[kb_search, account_lookup])Agent Architecture
How the 4 agents work together
Your data, triggers, or requests
Call Handler
Voice Interaction
Manages natural voice interactions with callers.
Intent Classifier
Request Understanding
Determines caller intent and extracts key information.
Resolution Agent
Issue Resolution
Handles common requests automatically.
Escalation Agent
Human Transfer
Transfers complex cases with full context.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Phone support is expensive — $25-35 per call with human agents. After-hours coverage means overnight staff. Hold times frustrate customers and increase churn.
The Solution
A 4-agent voice system that handles inbound calls 24/7, resolves 70% of requests automatically, and transfers complex cases with full context.
Tools You'll Need
Everything required to build this 4-agent system — click any tool for details
Agent orchestration
LLM for conversation and resolution
Voice AI platform for phone interactions
Alternative voice AI platform
Natural voice synthesis
Speech-to-text for call processing
Call logs and customer database
Implementation Guide
8 steps to build this system • 3-4 hours estimated
📋 Prerequisites
Set up voice AI platform
Configure Vapi or Retell AI with phone number and voice settings.
Design conversation flows
Map out common call scenarios and resolution paths.
Build the intent classification model
Train on your top 20 call reasons with entity extraction.
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Code Preview
Sample agent setup — see platform-specific previews above
from crewai import Agent, Crew
call_handler = Agent(role='Call Handler', goal='Natural voice interactions', tools=[voice_synth, speech_rec])
resolver = Agent(role='Resolution Agent', goal='Resolve issues automatically', tools=[kb_search, account_lookup])Example Input & Output
See what goes in and what comes out
{"call_type": "inbound", "caller_id": "+1-555-0123", "account": "acc_7392"}{"intent": "order_status", "resolution": "automated", "duration": "1:42", "satisfaction": "positive"}Requirements
Reviews
What builders are saying
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Frequently Asked Questions
Do I get all platform implementations?+
Yes — one purchase includes all platform implementations.
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