Customer Support Ticket → Uncertainty Analysis → Smart Routing
Route customer support tickets to specialists using ensemble uncertainty to identify complex cases that need expert attention.
Workflow Steps
Zendesk
Extract ticket content
Set up Zendesk webhook to automatically capture new ticket text, customer history, and initial categorization when tickets are submitted.
OpenAI GPT-4
Generate multiple classifications
Send ticket content to GPT-4 API with different prompts/temperatures to get multiple classification predictions (urgent/normal, technical/billing, complexity score) creating an ensemble of responses.
Python Script
Calculate uncertainty score
Build a script that analyzes disagreement between the multiple GPT-4 responses using variance in confidence scores and classification consistency to identify high-uncertainty cases.
Zendesk
Route based on confidence
Configure Zendesk automation to route high-uncertainty tickets (where the ensemble disagrees) to senior agents, while routing confident predictions to appropriate specialized queues.
Workflow Flow
Step 1
Zendesk
Extract ticket content
Step 2
OpenAI GPT-4
Generate multiple classifications
Step 3
Python Script
Calculate uncertainty score
Step 4
Zendesk
Route based on confidence
Why This Works
Using ensemble disagreement as a proxy for ticket complexity ensures that genuinely difficult cases get expert attention while routine tickets are handled efficiently.
Best For
Customer support teams wanting to intelligently route complex or ambiguous tickets to the right specialists
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