
AI Ticket Routing
Routes tickets to the right team or agent based on content and skills.
Routine requests answered from your Jira Service Management knowledge base, and the rest raised in the right queue.
Your Jira Service Management knowledge base holds the answers, but employees still raise a request instead of searching it. This agent answers their questions in Slack, Teams or a website widget, drawing on that knowledge base and your approved documents. What it cannot resolve becomes a properly described request in the right queue, so your agents start with the details they need.

AI Helpdesk Agent for Jira Service Management answers employee IT and internal service questions from your Jira Service Management knowledge base and approved documents, in one channel such as Slack, Teams or a website widget. What it cannot resolve becomes a request in the right queue.
Service desks running Jira Service Management often see queues full of questions their own knowledge base already answers, plus vague requests that need a round of follow-up. Both slow down the work that matters. After launch, routine questions are answered on the spot, and new requests arrive in the correct queue with clear descriptions. The Scope Card sets the channel, the queues and the topics covered before you order, so your service owners know exactly how requests will reach them.
The agent answers from your Jira Service Management knowledge base and approved documents, in Slack, Teams or a website widget. Simple questions are settled before a request is raised.
What the agent cannot resolve becomes a request in the right queue. The documented field mapping shows which details are carried into Jira Service Management.
Employees ask in plain words and get the relevant article back. The test report checks 40 documented questions, so you see answer quality before launch.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,400 |
| Express | 15–25 working days | $5,150 |
| Rush | 10–20 working days | $5,950 |
Before you start: Export a month of Jira Service Management requests by topic and queue, including how many were transferred.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is paid once. In operation it costs roughly $30 to $150 a month in your own accounts for AI model usage and hosting. Your Jira Service Management subscription carries on as before; licenses and plan upgrades sit outside this build.
AI usage during the build and testing is billed to your accounts too.
Ask about running costsCustom Jira Service Management objects outside the agreed mapping, a second channel or more than five intents are priced in a written Change Quote. Add a note at checkout to receive it.
Request a custom versionMonthly maintenance covers monitoring, fixes and change hours, for example a new queue or refreshed knowledge base articles. It starts after the post-launch support period, bills monthly and can be cancelled any month. Unused hours do not roll over.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A service management AI add-on is often priced per agent each month | An Atlassian consultancy quotes after discovery | Ours is one fixed price, shown on this page before you buy |
| Unanswered questions | The employee raises a request by hand | Depends on the workflow they configure | Ours raises it in the right queue with the conversation |
| Knowledge | Answers from whatever the add-on can see | A consultant restructures your articles | Ours answers only from articles and documents you approve |
| Delivery | Quick to switch on, slow to tune | Several weeks of project time | Ours has a fixed delivery time shown before you buy, with faster options |
Yes. Articles from your Jira Service Management knowledge base can be part of its approved content, alongside other documents, up to 100 documents or 200 web pages in total. You choose which articles it may use. It answers only from that material and says so plainly when the answer is not there.
The queue your escalation rules point to for that kind of request, agreed at intake and written into the field mapping. For example, an access question could go to your IT queue and a building question to facilities. The new request carries the employee's question and the conversation so far.
Yes, if you choose it as one of the five intents. Requests are part of the two-way mapping, so the agent can read a request the employee raised and report where it stands. What it may change on a request is limited to the fields the agreed mapping allows.
An Atlassian API token or an OAuth app, created by your admin and scoped to the project and fields in the agreed mapping. We confirm it together on a 30-minute setup call. Access sits in your Atlassian account, and your admin can revoke it at any time.
Roughly $30 to $150 a month for AI model usage and hosting, billed to your own accounts. Busier service desks sit toward the top of that range. Your Jira Service Management licenses are unchanged, and no plan upgrade is required for this build to work.
The delivery time is fixed and shown on this page before you order, and express or rush delivery can bring the launch forward if you need it sooner. All three include 40 documented test questions with pass or fail results, including checks that handoffs reach the correct queue.
Order the Jira Service Management edition and routine questions are answered from your knowledge base, while the rest arrive as clear requests in the right queue.

Routes tickets to the right team or agent based on content and skills.

Tags incoming tickets by topic, product, urgency and sentiment.

Detects tickets that need escalation and packages full context for the next tier.