Support ticket triage and routing
Tickets are routinely misrouted, lose context between handoffs, and sit in the wrong queue while the SLA clock runs down. A human triage team is expensive and still slow at peak.
AI classifies, tags and routes every incoming ticket based on content, priority signals and historical patterns, with the right owner assigned in under a second.
- 01
Incoming tickets are parsed for intent, sentiment, product area and urgency.
- 02
The system applies your routing rules (team, skill, region, priority) and assigns an owner.
- 03
Duplicates and clear policy breaches are surfaced before the ticket is opened.
- 04
When a ticket is reassigned by a human, the system learns and adjusts routing for similar cases.
- 05
Ops dashboards show routing quality, time-in-queue reduction and rework rates in real time.
with 15 to 25 percent fewer reassignments.
Ranges drawn from production deployments and public enterprise benchmarks. For a specific rupee or dollar figure tailored to your volume, use the calculator below.
Prerequisites for a clean deployment.
- API or webhook access to your ticketing platform
- Six months of labelled historical tickets
- Defined routing rules with a clear priority taxonomy
- A ticketing admin to own rule changes
Put your own numbers on it.
“At 4,000 emails a month and a loaded monthly cost of ₹1,50,000 per person, support ticket triage and routing would typically save ₹5.6 L to ₹9.0 L a year.”
Range uses this use case’s typical automation rate (25 to 40 percent) against the baseline time per task for email-triage work, with your cost per person converted at 160 working hours a month.
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