TelIntel Demo Preview
See how telecom feedback becomes structured intelligence.
Explore static examples of how TelIntel classifies raw customer feedback into operational themes, risk, intent, satisfaction signals, recurring issues, and safe operational personas.
Selected Demo
Recharge Issue
Customer Input
“I paid for a bundle but it did not activate. This happened again and support did not resolve it.”
Theme
Recharge
Risk
High
Intent
Complaint
CSAT
Negative
Recurring
Repeated Recharge Activation Failure
Persona
Recharge Problem Customer
TelIntel Summary
TelIntel identifies this as a high-risk recharge complaint with repeat-friction signals and negative satisfaction indicators.
Agent
Negative
CES
Negative
{
"operational_theme": "Recharge",
"operational_themes": [
"Recharge"
],
"risk_level": "High",
"intent_type": "Complaint",
"csat_label": "Negative",
"tnps_label": "Negative",
"agent_performance_label": "Negative",
"ces_label": "Negative",
"recurring_theme_label": "Repeated Recharge Activation Failure",
"primary_persona": "Recharge Problem Customer",
"final_status": "VALID"
}Static product preview
Shows representative TelIntel behavior without exposing backend inference or private deployment infrastructure.
API-ready layout
The same input/output structure can later connect to the TelIntel prediction API for live demo behavior.
Privacy-safe examples
Demo examples avoid real customer data and include a privacy/identity guardrail case.
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