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Data Extraction

Purpose: Automatically extract structured data from conversations (names, phone numbers, addresses, etc.).Use Cases:
  • Lead qualification forms
  • Customer information collection
  • Order processing
  • Appointment scheduling
  • Survey responses
How it works:
  1. Define fields you want to extract
  2. AI identifies relevant information during calls
  3. Data is stored in structured format
  4. Export or integrate with your systems
Field Configuration:
  • Field Name: What to call the extracted data
  • Field Type: Text, number, email, phone, date, etc.
  • Required: Whether the field must be collected
  • Validation: Rules for valid data
Example Fields:
{
  "name": {"type": "text", "required": true},
  "phone": {"type": "phone", "required": true},
  "email": {"type": "email", "required": false},
  "budget": {"type": "number", "required": false}
}

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Webhook Integrations

What are webhooks? Real-time notifications sent to your systems when events occur.Common Events:
  • Call started
  • Call ended
  • Data extracted
  • Tool used (transfer, end call)
  • Errors occurred
Use Cases:
  • Update CRM systems
  • Trigger follow-up emails
  • Log call analytics
  • Sync with databases
  • Notify team members
Setup Steps:
  1. Provide your webhook URL
  2. Choose which events to send
  3. Configure authentication (if needed)
  4. Test webhook delivery
Webhook Payload Example:
{
  "event": "call_ended",
  "call_sid": "CA123456789",
  "timestamp": "2024-01-15T10:30:00Z",
  "duration": 180,
  "extracted_data": {
    "name": "John Doe",
    "phone": "+1234567890"
  }
}

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Multi-Tenant Management

What is multi-tenancy? Support multiple organizations or clients with isolated data and configurations.Benefits:
  • Separate assistants per client
  • Isolated data and settings
  • Custom branding per tenant
  • Centralized management
  • Scalable pricing models
Use Cases:
  • Agency serving multiple clients
  • SaaS platform with voice features
  • Enterprise with multiple departments
  • White-label solutions
Setup Steps:
  1. Create tenant accounts
  2. Assign phone numbers to tenants
  3. Configure tenant-specific assistants
  4. Set up isolated data storage
  5. Manage billing and usage
Tenant Isolation:
  • Separate databases/schemas
  • Isolated API keys
  • Custom domain support
  • Tenant-specific analytics
  • Independent scaling

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Background Sounds

Purpose: Add ambient sounds to create realistic environments.Use Cases:
  • Restaurant sounds for food ordering
  • Office ambiance for business calls
  • Hold music for transfers
  • Brand-specific audio
  • Noise masking
Configuration:
  • Audio File: Upload your background sound
  • Volume: Adjust relative to voice
  • Loop: Continuous or one-time playback
  • Fade: Smooth transitions

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Interruption Handling

What it does: Handles when callers speak over the AI.Configuration:
  • Interruption Threshold: How many words trigger interruption
  • Min Speaking Time: Minimum time AI must speak before interruption
  • Cooldown Period: Time between interruptions
  • Buffer Management: How to handle overlapping speech
Settings:
  • Threshold: 3 words (default)
  • Min Time: 0.5 seconds (default)
  • Cooldown: 2.0 seconds (default)

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Outbound Calling

What it enables: AI-initiated calls to customers.Use Cases:
  • Appointment reminders
  • Follow-up calls
  • Survey collection
  • Lead nurturing
  • Customer check-ins
  • Payment reminders
Configuration:
  • Campaign Setup: Define call lists and timing
  • Custom Scripts: Tailored messages per campaign
  • Scheduling: When to make calls
  • Compliance: Do-not-call list management
Steps:
  1. Upload contact lists
  2. Configure call scripts/agendas
  3. Set calling schedules
  4. Configure compliance settings
  5. Monitor campaign performance
API Integration:
# Example outbound call API
response = burki_api.create_outbound_call(
    to_phone="+1234567890",
    assistant_id=123,
    agenda="Appointment reminder for tomorrow",
    custom_message="Hi, this is a reminder about your appointment..."
)

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Advanced Analytics

Available Metrics:
  • Call volume and duration
  • Completion rates
  • Data extraction success
  • Tool usage patterns
  • Customer satisfaction scores
  • Cost per call
Custom Reports:
  • Performance dashboards
  • Trend analysis
  • A/B testing results
  • ROI calculations
  • Quality metrics
Integration:
  • Export to BI tools
  • API for custom analytics
  • Real-time monitoring
  • Automated alerts

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Best Practices

  • Start simple: Implement basic features before advanced ones
  • Test thoroughly: Advanced features require more testing
  • Monitor performance: Track impact on call quality and user experience
  • Document configurations: Keep detailed records of settings and changes
  • Security first: Ensure proper authentication and data protection
  • Compliance: Follow industry regulations and best practices

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Getting Help

Resources:
  • API documentation
  • Developer guides
  • Community forums
  • Professional services
  • Technical support