Escalation Criteria & Patterns
CoreDesign effective escalation and ambiguity resolution patterns · Difficulty 3/5
Explanation
Escalation criteria define when an AI agent should hand off to a human or take alternative action instead of proceeding autonomously. Clear escalation criteria in system prompts are essential for production agent reliability.
Appropriate Escalation Triggers
- Policy gaps: Policies cover scenario A but are silent on scenario B
- Customer explicitly requests human: Honor immediately without attempting investigation
- Authorization limits: Amount exceeds agent's authority
- Inability to make meaningful progress: Agent is stuck, not just facing complexity
Inappropriate Escalation Triggers
- Multiple concerns in one message: Agent should handle these, not escalate
- Sentiment-based escalation: Customer frustration alone is unreliable
- Self-reported confidence scores: Unreliable proxy for actual case complexity
- Task is complex but within policy: Complexity alone isn't an escalation trigger
Pattern: Decision Boundary Prompting
Resolve autonomously when:
- Standard return within 30-day window
- Price match against our own site within 14 days
Escalate to human when:
- Customer requests policy exceptions
- Conflicting information from multiple systems
- Amount exceeds $500 without prior authorizationHandling Customer Frustration
When a customer is frustrated but the issue is straightforward, acknowledge the frustration and offer to resolve. Escalate only if the customer reiterates their preference for a human agent.
Key Takeaways
- Escalate for genuine policy gaps, not just complexity
- Honor explicit customer requests for human agents immediately
- Few-shot examples are more effective than abstract rules for escalation decisions
- Sentiment-based escalation and confidence scores are unreliable
Related Concepts
Test Yourself
1 / 1Your agent achieves 55% first-contact resolution, well below the 80% target. Logs show it escalates straightforward cases (standard damage replacements with photo evidence) while attempting to autonomously handle complex situations requiring policy exceptions. What's the most effective way to improve escalation calibration?