GPT-powered Freshservice incident triage that categorizes tickets, detects catalog requests, writes troubleshooting notes, and drafts requester responses before an agent begins work.
5K+
tickets processed yearly
420+
hours saved yearly
3
category levels
750+
projected phase 3 hours
01
How It Works
Every new support ticket is intercepted, summarized, classified, and enriched with private agent notes. The system coordinates focused helper flows for categorization, catalog matching, access detection, internal guidance, and public replies.
Three-level categorization using strict taxonomy matching
Catalog item detection for application access requests
Private HTML troubleshooting notes generated for agents
Requester-facing replies drafted from the ticket context
02
Model Selection
The current flow uses OpenAI with structured lookup tables for the service catalog and category hierarchy, keeping the model constrained to approved labels and public-safe response formats.
03
Roadmap
Phase 3 targets automatic resolution for repetitive issues such as MFA resets, lost phone workflows, reopened ticket cleanup, and common access problems with human escalation for ambiguous cases.