Migrate from Traditional IVR to AI Voice Agents
Replacing your traditional IVR with an AI voice agent can dramatically improve customer experience while reducing costs. This guide covers the complete migration process.
Why Replace Your IVR?
| Aspect | Traditional IVR | AI Voice Agent |
|---|---|---|
| Customer Experience | "Press 1 for..." frustration | Natural conversation |
| Resolution Rate | 20-30% self-service | 60-80% automation |
| Setup Time | Weeks/months | Days |
| Changes | Expensive, slow | Instant, free |
| Languages | Limited recordings | 22+ dynamic |
| After Hours | Limited options | Full capability |
| Cost | ₹5-15 per call | ₹6 per minute |
Understanding the Differences
Traditional IVR Structure
Caller → Menu 1 → Menu 2 → Menu 3 → Agent/Action
↓ ↓ ↓
DTMF 1-9 DTMF 1-9 DTMF 1-9
Limitations:
- Fixed menu options
- Linear navigation
- No natural language
- Pre-recorded only
AI Voice Agent Structure
Caller → AI understands intent → Takes action/responds
↓
Natural conversation
Any question, any order
Advantages:
- Open-ended conversation
- Intent-based routing
- Dynamic responses
- Real-time adaptation
Migration Planning
Phase 1: Document Your Current IVR
Create a complete map of your existing system:
Main Menu:
├── 1: Account Balance → API call → Read balance
├── 2: Recent Transactions → API call → Read last 5
├── 3: Bill Payment → Transfer to agent
├── 4: Speak to Agent → Queue → Agent
├── 5: Repeat Menu → Replay
└── *: Exit → Goodbye
Phase 2: Identify Automation Opportunities
For each menu option, determine:
| Current Option | Can AI Handle? | Complexity |
|---|---|---|
| Account Balance | ✅ Yes | Low |
| Transaction History | ✅ Yes | Low |
| Bill Payment | ✅ Yes | Medium |
| Complex Issues | ⚠️ Escalate | - |
| Address Change | ✅ Yes | Medium |
Phase 3: Design AI Conversations
Convert menu trees to natural conversations:
Old IVR:
"Press 1 for account balance"
*User presses 1*
"Your balance is ₹5,432"
New AI Agent:
AI: "Hi! How can I help you today?"
User: "What's my balance?"
AI: "Let me check that for you. Your current balance is ₹5,432. Is there anything else?"
Step-by-Step Migration
Step 1: Create Your AI Agent
- Sign up at voice-agent.edesy.in
- Create new agent
- Configure basic settings
Step 2: Write Your System Prompt
Convert IVR logic to natural language instructions:
You are an AI assistant for ABC Bank's customer service line.
CAPABILITIES:
You can help customers with:
- Checking account balance
- Recent transaction history (last 5 transactions)
- Bill payment status
- Branch locations and timings
- Card blocking (lost/stolen)
- Transferring to human agent
AUTHENTICATION:
Before providing account information, verify customer identity:
1. Ask for registered mobile number
2. Send OTP for verification
3. Only proceed after OTP confirmation
ESCALATION:
Transfer to human agent if:
- Customer explicitly requests
- Issue is complex (disputes, fraud)
- Customer is frustrated
- You cannot resolve after 2 attempts
LANGUAGE:
Speak in the customer's language. Support Hindi, English, and regional languages.
Step 3: Implement Function Calling
Replace IVR backend calls with function definitions:
For Account Balance:
{
"name": "get_account_balance",
"description": "Get customer's current account balance",
"parameters": {
"type": "object",
"properties": {
"customer_id": {
"type": "string",
"description": "Customer ID from authentication"
}
},
"required": ["customer_id"]
}
}
For Transactions:
{
"name": "get_recent_transactions",
"description": "Get customer's recent transactions",
"parameters": {
"type": "object",
"properties": {
"customer_id": {
"type": "string"
},
"count": {
"type": "integer",
"default": 5
}
}
}
}
Step 4: Handle DTMF (If Needed)
Some use cases still benefit from DTMF input:
DTMF HANDLING:
If customer needs to enter numbers (PIN, account number), say:
"Please enter your [X] using your phone keypad"
Then capture DTMF input.
Edesy supports DTMF capture. See DTMF Documentation.
Step 5: Configure Call Transfer
Map IVR transfers to AI escalation:
| IVR Transfer | AI Configuration |
|---|---|
| "Press 0 for agent" | Transfer function |
| Department routing | Intent-based transfer |
| Queue management | External queue system |
Transfer Configuration:
{
"name": "transfer_to_agent",
"description": "Transfer call to human agent",
"parameters": {
"type": "object",
"properties": {
"department": {
"type": "string",
"enum": ["general", "technical", "billing", "sales"]
},
"reason": {
"type": "string",
"description": "Summary of customer issue for agent"
}
}
}
}
Step 6: Set Up Telephony
Option A: Keep Existing Phone Numbers
Port your IVR numbers to Edesy:
- Contact our team with number details
- We coordinate with your carrier
- Typical porting: 5-10 business days
Option B: Parallel Setup
Run both systems during transition:
- Get new Edesy numbers
- Test thoroughly
- Port old numbers when ready
Option C: SIP Integration
Connect via SIP if your PBX supports it:
- Configure SIP trunk to Edesy
- Route calls via your existing infrastructure
- Gradual migration possible
Step 7: Test Thoroughly
Functional Testing:
- All IVR options work via conversation
- Functions return correct data
- Transfers connect properly
- DTMF input works
- After-hours behavior correct
User Testing:
- Test with real users
- Gather feedback
- Identify edge cases
- Refine prompts
Load Testing:
- Test concurrent calls
- Verify performance under load
- Check queue behavior
Handling Complex IVR Logic
Multi-Level Menus
Old IVR:
Main → Accounts → Savings → Balance
→ Mini Statement
→ Current → Balance
→ Checkbook Request
AI Approach:
The AI handles any path naturally:
User: "I want to check my savings account balance"
AI: [Authenticates] "Your savings account balance is ₹45,000"
User: "I need a new checkbook for current account"
AI: [Authenticates] "I'll request a checkbook for your current account.
It will be delivered in 5-7 days. Anything else?"
Conditional Logic
Old IVR:
IF business_hours THEN route_to_agent
ELSE play_message("Call back during business hours")
AI Approach:
BUSINESS HOURS:
Our business hours are Monday-Saturday, 9 AM to 6 PM.
During business hours, you can transfer calls to agents.
Outside business hours, collect callback requests or handle
what you can independently.
Authentication Flows
Old IVR:
Enter account number → Enter PIN → Verified
AI Approach:
AUTHENTICATION:
For account-specific requests:
1. Ask for registered mobile number
2. Trigger OTP via function call
3. Ask customer to speak or enter OTP
4. Verify via function call
5. Proceed if verified, retry once if failed, then transfer
Common Migration Challenges
"Customers are used to pressing buttons"
Some customers will still press buttons. Handle gracefully:
If you detect DTMF input without prompting, say:
"I heard you press [X]. I'm an AI assistant and can help you
directly. Just tell me what you need - like 'check my balance'
or 'speak to an agent'."
"We need exact IVR behavior"
You can configure AI to mimic IVR if needed:
If customer says only a number or presses DTMF:
1 = Account balance
2 = Recent transactions
3 = Bill payment
0 = Transfer to agent
Respond based on the number, but also offer:
"I can also help with other questions. Just ask!"
"Our backend systems are old"
AI agents can integrate with any system:
- REST APIs (modern)
- SOAP/XML (legacy)
- Database queries (via middleware)
- File-based (via processing)
We help design integration architecture.
"Compliance requirements"
AI agents support compliance needs:
- Call recording with consent
- PCI-DSS compliant payment handling
- HIPAA configurations available
- Audit logging
Cost Comparison
Traditional IVR Costs
| Component | Monthly Cost |
|---|---|
| IVR platform license | ₹30,000-1,00,000 |
| Telephony (per line) | ₹1,000-5,000 |
| Maintenance | ₹10,000-50,000 |
| Recording updates | ₹5,000-20,000/change |
| Agent overflow | Variable |
AI Voice Agent Costs
| Component | Cost |
|---|---|
| Edesy platform | ₹6/minute |
| No license fees | ₹0 |
| Changes/updates | ₹0 |
| 24/7 availability | Included |
Example Calculation:
- 10,000 calls/month
- Average 3 minutes/call
- Edesy cost: ₹1,80,000/month
- But 70% automation means fewer agent calls
- Net savings: Often 40-60%
Go-Live Checklist
- All IVR functions mapped to AI
- Backend integrations tested
- Phone numbers configured/ported
- Escalation paths verified
- Team trained on new system
- Monitoring dashboards set up
- Rollback plan documented
- Customer communication ready
Success Metrics
Track these post-migration:
| Metric | Target |
|---|---|
| Automation Rate | >60% (vs IVR's 20-30%) |
| Customer Satisfaction | >4.0/5 |
| Average Handle Time | <3 minutes |
| Transfer Rate | <30% |
| First Call Resolution | >70% |
Need Help?
Migrating from IVR can be complex. Our team offers:
- Free assessment: We'll review your IVR and provide migration plan
- Implementation support: Hands-on help with configuration
- Integration assistance: Help connecting to your backends
Contact us:
- Email: [email protected]
- Schedule call: Book Migration Consultation