Every agent labels the same issue differently — reports become useless.
tagrunetagging-enginehuman-approved
Turn messy tickets into clean support signals.
TagRune reads customer messages, applies AI tags, scores priority, and routes to the right queue — your team approves every suggestion before it syncs to Zendesk or Intercom.
- 1.2M tickets tagged this month
- 94% tag consistency vs manual
- 0 auto-sent replies without approval
Incoming
- "refund not received"
- "login broken after update"
- "where is my order??"
- "billing invoice wrong"
- "can you add export to csv"
- Intent
- Product area
- Sentiment
- Priority
- Team route
Routed queues
Support queues hide more than they show
Inconsistent tags, duplicate issues buried in inboxes, urgent tickets stuck behind general questions, and leadership flying blind on recurring problems.
Twenty tickets, one root cause — but nobody connects the dots.
Enterprise login blockers sit in the general queue for hours.
Leadership asks "what's breaking?" and ops exports a CSV manually.
Six steps from chaos to clarity
Ingest tickets
Zendesk, Intercom, CSV, or paste
Detect intent
Refund, bug, WISMO, cancel — grouped consistently
Apply tags
Taxonomy-aligned labels with confidence scores
Route to queue
Billing, product, retention, senior support
Suggest macro
Draft replies for agent confirmation
Track tag health
Duplicates, unused tags, rising issues
Built for the support ops loop
AI Tagging Engine
Auto-tag every ticket with confidence scores and review queues.
02Intent Detection
Group varied phrasing into stable intents.
03Priority Scoring
Urgent, high, normal, low — from signals, not guesswork.
04Routing Rules
Tag + condition → team + SLA, with fallback review.
05Macro Matching
Suggest the right reply template — never auto-send.
06Tag Analytics
Top issues, rising complaints, macro usage trends.
Connects where tickets already live
One messy inbox. One clean taxonomy.
Connect a helpdesk or paste tickets — review your first tag pack in minutes.