The queue is triaged and drafted before your team opens it.
It reads what came in overnight, gathers the customer’s history out of every system it is scattered across, and puts a drafted resolution in front of the agent. The hard tickets still go to people — faster, and with the context already attached.
Get a demoA support AI coworker picks tickets up as they arrive, reads the customer’s full history across the helpdesk, the billing system and the product logs, drafts a resolution grounded in that history, and routes what it should not answer alone to the person who should.
What a support coworker owns
Three jobs that happen before an agent opens the queue. Walk through each one.
See how we build yours →Sorted, tagged, and prioritised as it arrives, with the duplicates already merged
Helpdesk, billing, order history, and the product logs — gathered before the agent has to ask
Written against this customer’s actual history and the resolution policy you already have
Everything a support coworker does, in one place
Eight capabilities, all of them reading what an agent reads and nothing beyond it.
Queue triage
Sorted, tagged, deduplicated, and prioritised as tickets arrive rather than at nine o'clock.
History assembly
Pulls the customer's full record out of the helpdesk, billing, orders, and the product logs.
Grounded drafting
Answers from your systems of record as well as your articles, and flags where they disagree.
Duplicate merging
Three tickets about one outage become one thread with the context already joined up.
Escalation routing
Sends what it should not answer to the person who should, with the work already gathered.
Policy limits
Refunds, cancellations, and anything with a money value stay on the human side of the line.
Backlog visibility
What came in, what it did, what it held, and why — written where your team already looks.
Agent-level access
It sees what an agent sees. No standing access to systems the queue does not touch.
You can see exactly what it did overnight
Every ticket it touched, what it drafted, what it sent, and what it refused to decide alone — recorded where your team already reviews work.
See what gets logged →What it does before your team logs in
The first hour of the day, already done.
Questions support leaders ask
Answered the way we would answer them with your queue open on the call.
It owns the front of the queue: triaging what arrives, assembling the customer's history from every system it is scattered across, and drafting a resolution the agent reviews. Tickets that need judgement are routed to a person with the context already gathered rather than left for them to find.
That is your decision, per queue and per action type. Teams usually start with every reply held for an agent, then release the categories where the drafts have stopped needing edits. Refunds, cancellations, and anything with a money value normally stay on the human side permanently.
An assistant suggests a reply from your knowledge base to an agent who is already in the ticket. A coworker works the queue itself, pulls the specifics of this customer out of systems the helpdesk cannot see, and finishes the ticket. Running inside your own network is what makes those systems reachable at all.
It reads the systems of record as well as the articles, so an answer can be grounded in this customer's actual account and order state rather than a document written eighteen months ago. Where the two disagree it flags the conflict instead of picking one.
You decide how it is presented, and anything it sends goes out under whatever identity your policy requires. We would rather your team made that call than have a vendor default make it for you.
“The slow part of support is not writing the reply. It is finding out what happened, across four systems, before you can write it.”
Customer says the renewal charged twice.
billing, orders and the last 3 tickets read✓ Draft ready for reviewPut an AI coworker
inside your own cloud.
Bring last week’s queue. We will show you what it would have done with it.
Get a demo