Knowledge Base → Chatbot Training → Support Escalation
Build a customer support system that starts with simple responses and gradually handles complex queries, escalating appropriately based on confidence levels.
Workflow Steps
Confluence
Organize support knowledge
Structure your help documentation with clear difficulty tiers: basic FAQs, intermediate troubleshooting, and complex technical issues. Use labels to categorize by complexity and topic.
Dialogflow
Build progressive chatbot responses
Train intents starting with simple queries, then add more complex conversational flows. Configure confidence thresholds that determine when to attempt advanced responses vs. escalate.
Intercom
Implement smart escalation
Set up automation rules that route conversations based on chatbot confidence scores and topic complexity. Simple issues stay with bot, complex ones go to human agents with context.
Workflow Flow
Step 1
Confluence
Organize support knowledge
Step 2
Dialogflow
Build progressive chatbot responses
Step 3
Intercom
Implement smart escalation
Why This Works
Like teacher-student learning, the system starts with basics and only tackles advanced problems when it has demonstrated competency, reducing failed interactions and improving customer satisfaction.
Best For
Customer support automation that learns when to handle vs. escalate based on query complexity
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