Raw feedback
User message
I got charged twice for my subscription today. Invoice shows two charges and support chat told me to wait 48h — please refund this, it’s urgent.
Example showing an API-sent billing bug routed into Notion. See how TriageFast extracts structured fields for fast handling.
What this shows
This example matters because billing issues require fast, accurate routing and clear context so teams can refund customers and prevent recurrence.
Raw feedback
I got charged twice for my subscription today. Invoice shows two charges and support chat told me to wait 48h — please refund this, it’s urgent.
Triage output
{
"type": "billing",
"severity": "high",
"title": "Duplicate subscription charge on renewal",
"summary": "Customer reports being charged twice on subscription renewal and requests a refund.",
"tags": [
"billing",
"subscription",
"refund",
"duplicate-charge"
],
"sentiment": "frustrated",
"confidence": 0.95
}Resulting issue
Duplicate subscription charge — customer requests refund
Customer reports a duplicated charge on their recent subscription renewal. Raw message: "I got charged twice for my subscription today. Invoice shows two charges and support chat told me to wait 48h — please refund this, it’s urgent." Suggested next steps: verify invoice and payment processor logs, issue refund if duplicate found, notify customer and update billing status.
Live example
Send the same raw message to TriageFast and get the structured result back through the normal ingest endpoint.
curl -X POST https://triagefast.app/api/v1/ingest -H "Authorization: Bearer tf_live_xxxx" -H "Content-Type: application/json" -d '{"source":"api","message":"I got charged twice for my subscription today. Invoice shows two charges and support chat told me to wait 48h — please refund this, it’s urgent."}'How it works
Step 1
POST the raw feedback to the TriageFast API endpoint.
Step 2
AI extracts type, severity, title, summary, tags, sentiment, and confidence under 30 seconds.
Step 3
TriageFast routes the structured issue to Notion with labels and priority.
Related examples
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