Monthly call volume (medium utility):
├── Total incoming calls: 150,000-300,000
├── Billing inquiries: 35% (52,500-105,000)
├── Outage reports: 20% (30,000-60,000)
├── Service requests: 15% (22,500-45,000)
├── Account management: 15% (22,500-45,000)
├── Payment arrangements: 10% (15,000-30,000)
└── Other inquiries: 5% (7,500-15,000)

Call center capacity:
├── Agents: 50-200
├── Calls per agent per hour: 8-12
├── Operating hours: 12-16 hours/day
├── Maximum daily capacity: 8,000-28,000 calls

Normal day:
├── Calls per hour: 300-500
├── Wait time: 2-5 minutes
└── Abandonment rate: 5-8%

Major outage day:
├── Calls per hour: 3,000-10,000
├── Wait time: 45-90+ minutes
├── Abandonment rate: 40-70%
└── Customer satisfaction: Plummets

Storm season reality:
├── 10-20 major outage events per year
├── Each event: 10,000-100,000 affected customers
├── Every customer calls (often multiple times)
├── Agents overwhelmed for hours/days

Questions handled:
├── "Why is my bill so high?"
├── "When is my payment due?"
├── "Did you receive my payment?"
├── "Can I set up automatic payments?"
├── "Can you explain these charges?"
└── "I need a payment extension"

Characteristics:
├── Most are routine, data-lookup queries
├── 80% can be fully automated
├── Average handle time: 4-6 minutes
└── Often require customer verification

Questions handled:
├── "My power is out"
├── "When will power be restored?"
├── "Is there an outage in my area?"
├── "My neighbor has power but I don't"
├── "Street light is out"
└── "Flickering lights"

Characteristics:
├── Spike dramatically during events
├── Most are reporting same outage
├── Customers want ETR (estimated time to restore)
├── High anxiety/urgency
└── 90%+ can be automated

Questions handled:
├── "I'm moving, need to transfer service"
├── "Start service at new address"
├── "Disconnect my service"
├── "Change my service plan"
├── "Schedule meter reading"
└── "Report a problem with my meter"

Characteristics:
├── Often require verification
├── Multi-step processes
├── Some need human handoff
└── 60% can be fully automated

Monthly benefit = (automated calls x minutes saved x cost/minute)
                + (recovered calls x conversion rate x avg order value)
                - monthly fee
Payback = setup fee / monthly benefit

Fully automated (70% of calls):
├── Outage reporting and status
├── Bill balance and due date
├── Payment confirmation
├── Account balance
├── Service hours/locations
├── Basic rate information
└── Automated payment processing

Partially automated (20% of calls):
├── Payment arrangements (rules-based)
├── Service transfer initiation
├── Meter appointment scheduling
├── Usage inquiry (with data lookup)
└── Plan change requests

Human handoff required (10% of calls):
├── Complex billing disputes
├── Safety emergencies
├── Theft/fraud reports
├── Legal/regulatory matters
└── Escalated complaints

Customer: [calls during storm]

Voicebot: "Thank you for calling PowerCo. 
I can help you with outage reports, billing, 
and account services. How can I help?"

Customer: "My power is out"

Voicebot: "I'm sorry to hear your power is out. 
I'll report this and get you status information.

First, can I have your phone number or 
account number to locate your account?"

Customer: "555-123-4567"

Voicebot: "Thank you. I found your account at 
123 Main Street, Anytown. Is that correct?"

Customer: "Yes"

Voicebot: "I'm checking our outage system now...

[Checks OMS - Outage Management System]

I can see there's a confirmed outage affecting 
your area. Here's what we know:

📍 Outage: Confirmed at 3:42 PM
👥 Customers affected: 2,340
🔧 Cause: Storm damage to transmission line
⏰ Estimated restoration: 8:00 PM tonight

A crew has been dispatched and is working 
on repairs now.

Would you like me to send you a text message 
when power is restored?"

Customer: "Yes please"

Voicebot: "I'll send updates to 555-123-4567.
Is there anything else I can help with?

If you have a medical emergency or 
see downed power lines, please stay on 
the line and I'll connect you to our 
emergency team immediately."

Customer: "No, that's all. Thanks."

Voicebot: "Thank you for your patience. Stay safe, 
and we'll work to restore your power as 
quickly as possible. Goodbye."

Customer: "Hi, I have a question about my bill"

Voicebot: "I can help with that. For security, 
I'll need to verify your account.

Please enter or say your 10-digit account 
number, or I can look you up by phone number."

Customer: "My account is 1234567890"

Voicebot: "Thank you. For verification, can you 
confirm the last name on the account?"

Customer: "Johnson"

Voicebot: "Perfect, thank you Mr. Johnson. 
I have your account pulled up.

Your current bill summary:
├── Bill date: January 1, 2026
├── Amount due: €127.54
├── Due date: January 20, 2026
├── Previous balance: €0.00 (paid, thank you)

This month's charges:
├── Electric usage: 892 kWh (€98.12)
├── Service charges: €15.00
├── Taxes and fees: €14.42

Your usage was 15% higher than last month, 
likely due to colder temperatures.

What would you like to know about your bill?"

Customer: "Why is it so high this month?"

Voicebot: "Good question. Let me explain:

Your usage increased from 776 kWh in December 
to 892 kWh in January - a 116 kWh increase.

Looking at weather data, average temperatures 
this billing period were 5°C colder than 
last month. This typically increases 
heating-related usage.

Your rate remained the same at €0.11 per kWh.

Would you like me to:
1. Compare this to your usage history?
2. Send you energy-saving tips?
3. Check if you qualify for any assistance programs?
4. Speak with a billing specialist?"

Customer: "I'll take the energy-saving tips"

Voicebot: "I'll text our energy-saving guide to 
your phone. Average customers save 10-15% 
by following these recommendations.

Anything else I can help with today?"

Customer: "I can't pay my full bill this month"

Voicebot: "I understand. Let me see what options 
are available for your account.

For security, please verify your account..."

[After verification]

Voicebot: "Thank you for verifying. I can see your 
current balance is €127.54 due January 20.

Based on your account history, you qualify 
for the following options:

Option 1: Extended due date
├── Push due date to February 3
├── No fee
├── Full amount due then

Option 2: Two-payment plan
├── €65 due January 20
├── €62.54 due February 3
├── No fee for good-standing accounts

Option 3: Payment assistance
├── You may qualify for LIHEAP assistance
├── I can provide application information

Which option works best for you?"

Customer: "The two-payment plan"

Voicebot: "Perfect. I'm setting up the two-payment 
plan now.

Confirmed arrangement:
├── First payment: €65.00 due January 20
├── Second payment: €62.54 due February 3
├── Automatic payment: [Yes/No]

I'll send confirmation to your email at 
johnson@email.com.

Your account will remain in good standing 
as long as payments are made by these dates.

Anything else I can help with?"

Core utility systems:
├── CIS (Customer Information System)
│   └── Account data, history, balances
├── OMS (Outage Management System)
│   └── Outage status, ETR, affected areas
├── MDM (Meter Data Management)
│   └── Usage data, interval reads
├── Work Management
│   └── Service orders, appointments
└── Payment Processing
    └── Payment posting, arrangements

Communication channels:
├── Phone (primary)
├── IVR integration
├── SMS notifications
├── Email confirmations
└── App push notifications

Data to gather:
├── Call volume by type (minimum 3 months)
├── Average handle time by call type
├── First call resolution rates
├── Peak volume patterns
├── Abandonment rates
├── Customer satisfaction scores
└── Cost per call by type

Priority ranking criteria:
├── Call volume (higher = more impact)
├── Automation potential (simpler = easier)
├── Customer frustration (pain points)
├── Agent time consumption
└── Strategic importance

Recommended Phase 1 scope:
├── Outage reporting and status
├── Bill balance inquiry
├── Payment due date
├── Payment confirmation
└── Operating hours/locations

Phase 2 expansion:
├── Payment processing
├── Payment arrangements
├── Service transfer initiation
├── Usage inquiries
└── Appointment scheduling

Key design elements:
├── Customer identification flow
├── Intent recognition accuracy
├── Data lookup integrations
├── Response scripting
├── Escalation triggers
├── Error handling
└── Multi-language support

Critical integrations:
├── CIS account lookup
├── OMS outage status
├── Payment system
├── Notification service
└── Agent queue management

Regulatory considerations:
├── Customer data protection
├── Payment card industry (PCI)
├── Call recording regulations
├── Accessibility requirements
├── Service level agreements
└── Emergency protocols

Infrastructure:
├── Telephony integration (SIP/VoIP)
├── API connections to core systems
├── Secure data handling
├── High availability setup
├── Load balancing for spikes
└── Disaster recovery

Testing phases:
├── Unit testing (each conversation)
├── Integration testing (system connections)
├── Load testing (storm simulation)
├── User acceptance testing
└── Parallel operation period

Phased approach:
Week 1: 10% of calls (controlled)
Week 2: 25% of calls
Week 3: 50% of calls
Week 4: 100% of calls

Monitoring priorities:
├── Completion rates
├── Escalation rates
├── Customer satisfaction
├── System performance
├── Agent feedback
└── Issue identification

Training components:
├── How voicebot handles calls
├── When calls escalate to agents
├── Reading voicebot transcripts
├── Handling escalated customers
└── Providing feedback for improvements

Traditional call center during storm:
├── Capacity: 500 calls/hour
├── Storm volume: 10,000 calls/hour
├── Customers served: 5%
├── Average wait: 90+ minutes
└── Customer experience: Terrible

With AI voicebot:
├── Capacity: Unlimited concurrent calls
├── Storm volume: 10,000 calls/hour
├── Customers served: 100%
├── Average wait: 0 seconds
└── Customer experience: Excellent

Automatic storm mode:
├── OMS triggers storm status
├── Greeting updates automatically
├── Proactive outage messaging
├── Mass notification deployment
└── ETR broadcast capability

Example storm greeting:
"Thank you for calling PowerCo. We're currently 
experiencing storm-related outages affecting 
approximately 45,000 customers.

If you're calling to report an outage or 
check restoration status, say 'outage' or 
press 1, and I can give you immediate 
information for your area.

For all other inquiries, say 'other' or press 2."

Outage detected:
├── Automatic text/email to affected customers
├── Message: "We've detected an outage at your 
│   address. Crews dispatched. ETR: 6:00 PM"
├── Reduces incoming calls by 40-60%
└── Improves customer satisfaction

Status updates:
├── ETR changed: Automatic notification
├── Crew arrived: Progress update
├── Power restored: Confirmation message
└── Survey link: Post-restoration

Effective utility voice design:
├── Clear and efficient (customers want answers)
├── Empathetic during outages (acknowledge frustration)
├── Professional and trustworthy
├── Not overly casual or robotic
└── Appropriately urgent for emergencies

Outage greeting example:
"I understand losing power is frustrating, 
and I'm here to help you right away."

NOT:
"Thanks for calling! How's your day going?"

When voicebot can't help:
├── Never leave customer stuck
├── Offer clear alternatives
├── Transfer to agent with context
├── Provide callback option
└── Give direct contact information

Example:
"I'm not able to locate your account with 
that information. Let me connect you with 
a specialist who can help. Your current 
wait time is approximately 3 minutes.

Or, I can have someone call you back within 
2 hours. Which would you prefer?"

Monitor and improve:
├── Weekly call review (sample)
├── Failed interaction analysis
├── Customer feedback incorporation
├── New use case identification
├── Seasonal adjustments
└── Regulatory compliance updates

Key metrics to track:
├── Containment rate (% handled without agent)
├── Completion rate (% of successful interactions)
├── Customer satisfaction (post-call surveys)
├── Average handle time
├── Escalation rate
└── First call resolution

(Annual calls) × (% automatable) × (cost per call)
= Potential annual savings