What is a Ticket Routing Automation?

Support teams historically relied on manual triage or rigid keyword rules to route tickets, which breaks down as ticket volume and product surface area grow. Modern routing pipelines use classification, whether rule-based, machine-learned, or LLM-driven, to read the ticket text, detect intent and topic, estimate severity, and match it against team skill sets, current workload, and SLA targets before assigning it, often alongside auto-tagging and suggested-response drafting. Getting routing right shortens time-to-first-response and reduces the number of times a ticket bounces between teams before reaching someone who can actually resolve it, which is one of the biggest drivers of poor customer-support satisfaction. It also produces cleaner data for staffing decisions, since accurate categorization shows where ticket volume is actually concentrated.