AI Assistant Error Handling: Turn Failures into Wins

AI will fail sometimes. How it fails determines whether users forgive or abandon.

Common AI Failures

Knowledge Gaps

AI doesn't know the answer.

**Bad**: "I don't understand."

**Good**: "I don't have specific information on that. Let me connect you with someone who can help, or you can email support@company.com."

Misunderstanding

AI interprets wrong intent.

**Bad**: [Provides wrong answer confidently]

**Good**: "Just to make sure I understand - are you asking about X or Y?"

Technical Errors

API failures, timeouts, etc.

**Bad**: "Error 500"

**Good**: "I'm having a moment - let me try that again. If this persists, our team is available at support@company.com."

Out of Scope

Request beyond AI's domain.

**Bad**: Trying to answer anyway

**Good**: "That's outside my expertise. I specialize in [topic]. For [other topic], I'd recommend [alternative]."

Error Handling Principles

1. Never Leave Users Stranded

Always provide a path forward:

• Alternative resource
• Human escalation
• Contact information
• Related help

2. Be Honest

Users prefer "I don't know" to wrong answers.

3. Stay in Character

Errors should match your AI's personality.

4. Learn from Failures

Track what AI can't answer. Update knowledge base.

5. Make Recovery Easy

Suggest rephrasing, offer menu of topics, provide reset option.

Error Message Templates

**Unknown topic**: "I'm not sure about that specific question. I'm best at [topics]. Would any of those help?"

**Clarification needed**: "I want to make sure I help you correctly. Could you tell me more about [specific aspect]?"

**Technical issue**: "Something went wrong on my end. Let me try again. [Retry button]"

**Complex issue**: "This sounds like it needs a human touch. Let me connect you with our team."

Great error handling turns frustration into trust.

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