Automate Customer Support 24/7 with AI

Never miss a customer call again. AI voice agents handle support 24/7/365 with no night shift premiums, holidays, or sick days.

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6 Day Implementation

From $5K

Proven ROI

The Problem

Staffing 24/7 support requires 4-5x more agents (shift coverage), night shift premiums (+15-30%), weekend penalties, and management overhead. Most SMBs can't afford it, losing customers to competitors who answer after hours.

Before vs After

See the transformation

Human 24/7 Support

Need 15+ agents for shift coverage
Night shift premium: +20-30%
Weekend premium: +15%
Annual cost: $1.2M+
Response time: 2-5 min wait
Coverage gaps during holidays

AI 24/7 Support

1 AI agent, infinite capacity
No shift premiums or overtime
No holidays or sick days
Annual cost: $10K
Response time: instant
365 days, 100% uptime

ROI Calculator

Real numbers, transparent costs

See Before/After section above for detailed cost breakdown

Annual Savings

How to Implement

4-step process to success

1. Map Common Support Requests

Analyze last 1,000 support tickets. Categorize by type, complexity, and frequency. Target top 10 request types representing 70-80% of volume.

2. Build Knowledge Base

Document answers, troubleshooting steps, and escalation criteria for top requests. AI trains on this knowledge base to handle requests consistently.

3. Deploy AI for After-Hours First

Start with 6pm-8am coverage when you currently have no support. Low risk, high impact. Measure resolution rate and customer satisfaction.

4. Expand to Business Hours

Once after-hours proven, extend AI to handle tier-1 support during business hours. Humans focus on tier-2/3 complex issues.

Real-World Example

How one company solved this problem

SaaS company (B2B software)

Before

8am-6pm support only (10 hours). Missed 60% of calls outside hours. Lost $180K ARR from churned customers citing poor support.

After

AI handles 24/7 tier-1 support (password resets, account questions, basic troubleshooting). 2 humans handle complex cases during business hours.

Result

Churn reduced 40%. Support costs down 55%. Customer satisfaction up from 3.2 to 4.6 stars.

Common Objections

Honest answers to concerns

Can AI really troubleshoot technical issues?

For common issues with documented solutions (password resets, setup guides, error codes), yes - often better than humans. Complex debugging still needs human engineers.

What about angry customers?

AI detects frustration in voice tone and escalates immediately to human. Angry customers get human support within 30 seconds, with full context transferred.

Customers want human support

Customers want solutions, not specifically humans. If AI resolves their issue in 2 minutes vs waiting 10 minutes for human, they prefer AI. Always offer human escalation.

Frequently Asked Questions

What percentage of support can AI actually handle?

60-80% of tier-1 support requests (FAQs, password resets, order status, basic troubleshooting). Complex technical issues, sales questions, and escalations still need humans.

How do we handle the transition?

Start with after-hours only (zero risk - you currently have no coverage). Once proven, gradually shift tier-1 calls to AI during business hours. Transition over 3-6 months.

What if our product changes frequently?

AI knowledge base updates in minutes, not weeks. When you launch new features, update the AI's training data the same day. Faster than retraining human support team.

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