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Pricing Guide

Voice AI for Customer Service: ROI Breakdown

The real numbers behind voice AI implementation

By MIAMI WEB AI8 MIN READNovember 5, 2025

Voice AI can dramatically reduce customer service costs—if implemented correctly. But hype often obscures reality. This guide provides actual numbers to help you make an informed decision.

Current State: Human Agent Costs

Fully-loaded cost per human agent: - Salary: $35,000-$50,000/year - Benefits: 25-35% of salary - Training: $3,000-$5,000/year - Technology/tools: $1,500-$3,000/year - Management overhead: 15-20% - Facilities: Variable by location

All-in cost: $55,000-$85,000 per agent per year

Cost per call (human): - Average handle time: 6-8 minutes - Calls per hour: 7-10 - Calls per agent per year: ~15,000 - Cost per call: $3.50-$6.00

The math on 50,000 calls/year: Human-only: $175,000-$300,000 annually

Voice AI: Cost Structure

Implementation costs: - Simple voice AI agent: $8,000-$15,000 - Custom integrations: $10,000-$30,000 - System connections (CRM, inventory, etc.): $5,000-$15,000 each - Training and change management: $3,000-$8,000

Typical total implementation: $25,000-$75,000

Ongoing costs: - Platform/API fees: $500-$2,500/month - Telephony costs: $0.01-$0.05/minute - Maintenance and updates: $500-$1,500/month - Monitoring and optimization: $500-$1,000/month

Monthly ongoing: $2,000-$6,000

Cost per AI-handled call: Including all costs, typically $0.50-$1.50 per call—80-90% less than human agents.

Realistic Automation Rates

What voice AI typically handles: - Account balance and status inquiries - Order tracking and shipping updates - Appointment scheduling and confirmation - Hours and location questions - Basic troubleshooting with decision trees - Payment processing and billing queries - FAQ and product information

Achievable automation rates by industry: - Ecommerce: 60-75% - Healthcare (scheduling): 70-80% - Financial services: 50-65% - Telecommunications: 55-70% - Hospitality: 65-80%

Conservative planning: Assume 50-60% automation initially, improving to 70%+ after 6 months of optimization.

Calls that still need humans: - Complex complaints - Emotional situations - Multi-step problem resolution - Policy exceptions - High-value customer retention

ROI Calculation Framework

For a business with 50,000 calls/year:

Current state (human-only): - Cost per call: $4.50 - Annual cost: $225,000

With voice AI (65% automation): - AI-handled calls: 32,500 × $1.00 = $32,500 - Human-handled calls: 17,500 × $4.50 = $78,750 - Annual operating cost: $111,250 - Implementation cost (year 1): $40,000

Year 1: - Total cost: $151,250 - Savings: $73,750 - ROI: 184%

Year 2+: - Total cost: $111,250 - Annual savings: $113,750 - ROI: 284%

Payback period: 6-8 months

Decision Framework

Strong GO signals: - Call volume exceeds 1,000/month - 40%+ of calls are routine inquiries - High call costs limiting service expansion - After-hours call volume significant - Customer satisfaction suffering from wait times

Proceed with caution: - Call volume 500-1,000/month - Complex call mix - Highly regulated industry - Older customer demographic - Limited internal technical capability

Not yet ready: - Under 500 calls/month - Most calls require judgment - No clear routine call types - Major system upgrades needed first - Culture resistant to automation

Recommendation: If in doubt, pilot with limited scope. Test automation on one call type before broad rollout.

DECISION TREE

Voice AI Investment Decision

1

Call volume over 1,000/month?

YES → Strong ROI potential | NO → May not justify investment yet
2

40%+ of calls are routine?

YES → High automation potential | NO → Focus on specific call types
3

Current cost per call over $3?

YES → Significant savings likely | NO → Savings may be modest
4

After-hours calls important?

YES → Added value from 24/7 | NO → Focus on cost reduction
5

Budget for $25K+ implementation?

YES → Custom solution viable | NO → Start with simpler tools
VOICE AICUSTOMER SERVICEROIAUTOMATION

WRITTEN BY

MIAMI WEB AI

AI Systems Team

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