Convo AI
Automation & AI

When to Use AI vs Human Agents in Customer Support

Convo AI Team
February 18, 2025
8 min read

Define the right balance between AI automation and human agents. Guidelines for routing decisions and escalation.

The Complementary Model

AI and humans aren't competitors - they're teammates:

AI Handles:

- Volume (many conversations simultaneously)

- Speed (instant responses)

- Consistency (same quality 24/7)

- Simple, repetitive queries

Humans Handle:

- Complexity (nuanced situations)

- Empathy (emotional customers)

- Judgment (exceptions, edge cases)

- Relationship building

Goal: AI handles the volume, humans handle the value.

AI-Perfect Scenarios

Route these to AI:

Information Retrieval:

- Order status and tracking

- Store hours, locations

- Product specs and availability

- Shipping rates and times

Simple Transactions:

- Password resets

- Account updates

- Appointment scheduling

- FAQ answers

Qualification:

- Lead capture and qualification

- Information collection for humans

- Triage and routing

Human-Required Scenarios

Always route to humans:

Emotional Situations:

- Complaints and frustration

- Sensitive issues

- When customer explicitly requests human

Complex Decisions:

- Policy exceptions

- Refund approvals

- Custom solutions

High-Stakes:

- Large transactions

- VIP customers

- Legal/compliance matters

- Safety concerns

Designing Escalation Paths

Smooth handoffs are critical:

Automatic Escalation Triggers:

- Negative sentiment detected

- Same question asked 3+ times

- Specific keywords ("manager", "refund", "complaint")

- Customer requests human

Handoff Best Practices:

- Transfer full conversation context

- Don't make customer repeat

- Set expectation for wait time

- Acknowledge they wanted human

Avoid:

- Loops with no escape

- Forcing bot when human requested

- Losing context in transfer

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Frequently Asked Questions

What percentage should AI handle vs humans?

Typical target: 60-70% AI, 30-40% human. Exact ratio depends on query complexity and customer expectations. Start conservative, increase AI as it proves reliable.

How do customers feel about talking to bots?

62% prefer self-service for simple issues. Key is quality - good bots are welcomed, bad bots are hated. Easy escalation to human is essential.

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