Customer service
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Customer service · Automation
AI ticket triage and routing for support teams
Every new ticket is tagged, prioritized and sent to the right person or queue, so urgent issues stop sitting in a shared inbox.
01 today
Tickets land in one shared queue and someone has to read each one to decide who should take it. Urgent problems, like a broken checkout or a burst pipe at a rental, can sit unread behind password resets. Tags are applied inconsistently, so reporting on what customers actually contact you about is guesswork.
02 the run
paused: waiting for a person to approve
03 human in the loop
Your support lead sets the categories and routing rules and can correct any label in one click. Corrections are reviewed weekly and used to tune how tickets are sorted.
04 after
Tickets reach the right person first time, urgent ones get seen quickly, and nobody spends the morning sorting the queue. Tags become consistent enough to show which issues come up most.
Results from a real build
[CASE STUDY] We only publish results we can name and check with the client.
see also
Customer service
Drafts a personal reply to every new Google, Tripadvisor or Trustpilot review, so the owner can check and post them in a few minutes a day.
Customer service
An AI agent answers routine customer emails and chats from your help docs and order data, then hands anything unusual to your team with notes.
Customer service
A voice agent picks up calls your team can't, answers common questions, books jobs or appointments and texts urgent details to whoever is on call.
A free 30-minute call. You talk, we ask questions, and you leave with a few concrete ideas — or an honest answer that AI isn't the right fix yet.
Working with teams in the United States, United Kingdom and Australia.