Operations
AI Incident Triage for Jira
Related alerts collapse into one Jira incident with a suggested priority, a likely cause and a first update already commented.
An alert storm in Jira usually means a pile of duplicate issues and nobody sure which one to work. This edition folds related alerts into one Jira incident, adds repeats to it instead of opening new ones, suggests a priority and checks recent code changes for a likely cause. A drafted first update is posted as a comment, ready for your team to confirm.
- One Jira incident per problem, with no duplicate issues
- Suggested priority and likely cause from recent changes
- Drafted first update posted as a Jira comment
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Incident Triage for Jira turns a burst of alerts into one Jira issue in your incident project, adding repeats to it instead of opening duplicates. It suggests a priority, checks recent code changes for a likely cause, and posts a drafted first update as a Jira comment. Your team owns every decision.
Why businesses buy it
Duplicate Jira issues during an incident waste time, split the conversation and make reporting unreliable afterward. Engineers spend the early minutes cleaning up tickets instead of fixing the fault. This edition keeps one incident per problem in your own Jira project, with the priority, likely cause and first update already there, so the response starts faster and the record stays clean for the review. The Scope Card fixes the Jira mapping, connected systems, rules and trial before you order, so your Jira admin knows exactly what will be created and changed.
Problems this solves
Repeat alerts open duplicate Jira issues for the same incident
A burst of alerts becomes one Jira issue in your incident project. Repeats are added to that issue instead of opening duplicates, keeping the board readable.
Incident issues sit unprioritised while people argue about severity
The agent suggests a priority on the Jira issue and checks recent code changes for a likely cause. Your team confirms or changes it, starting from a reasoned view.
The first written update is always late during an incident
A drafted first update is posted as a Jira comment, ready to edit and share. Your team owns every decision; the agent only drafts and suggests.
A good fit if
Incidents are tracked as Jira issues, and one outage regularly produces several duplicate tickets from different alerts.
Engineers open an incident issue to find nothing but an alert title, and spend the first minutes piecing context together.
You have runbooks or severity rules written down that map well to Jira priority and component fields.
A Jira admin can create an Atlassian API token or OAuth app and join a 30-minute field-mapping call.
Not the right fit if
Your team handles incidents in Slack channels rather than Jira. See AI Incident Triage for Slack.
Your incidents start from failing GitHub checks and are tracked as GitHub issues. See AI Incident Triage for GitHub.
You want Jira project status summarized for stakeholders, not incidents triaged. See AI Project Status Agent for Jira.
You need an assistant engineers can question during the incident. See AI On-Call Assistant.
How it works
- Your Jira admin creates an Atlassian API token or OAuth app; on a 30-minute call we map the incident project, issue type, priority, components and the fields that hold severity and cause.
- An alert arrives from the one pipeline in scope. If an open Jira incident already covers the same service and symptom, the alert is added to it as a comment instead of a new issue.
- Otherwise a new Jira issue is created, with a suggested priority and component set from your severity rules and runbooks.
- Recent commits and deploys in your code host, the one extra system in scope, are checked for a change that lines up with the failure.
- A short first update, covering what is affected, the likely cause and the suggested owner, is posted as a Jira comment for the on-call engineer to confirm or correct.
- It never closes, resolves or reassigns a confirmed incident and never touches production; people make every change.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- An Atlassian API token or OAuth app from your Jira admin, shared securely in the way agreed, never by email.
- Your Jira admin for 30 minutes on the incident project, issue type and fields.
- Scoped access to the repository or pipeline in scope, plus your CI/CD configuration details.
- Severity rules, runbooks and coding standards the triage should follow.
- Access to the one extra system, usually your Git host, for checking recent changes.
- Who is on call and one decision-maker for approvals.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, Jira access working, field mapping call held.
Weeks 1–2
Alert grouping, duplicate detection and Jira issue creation built.
Week 3
Cause checks against your Git host and drafted comments connected.
Weeks 3–4
Trial on 20 pipeline runs or pull requests.
Week 4
Your review and two rounds of changes to rules.
Go-live
Live on real alerts, handoff recorded, support begins.
| 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 |
What you receive at handover
- Incident triage creating and updating issues in your Jira incident project
- Jira connection plus one more system, with a documented field mapping
- Priority and grouping rules set to your runbooks
- Access set up through keys you control
- Test report from a trial on 20 runs, admin guide and recorded handoff
- 30 days of post-launch support
Expected benefits and how to measure them
- Can keep your Jira incident project free of duplicate issues.
- Helps the team agree on priority faster.
- Duplicate incident issues
- Count Jira issues closed as duplicates in the incident project, a month before launch and after.
- Time to set priority
- Compare time from issue creation to a confirmed priority, using Jira history, before and after launch.
- Priority suggestions kept
- Record how often your team keeps the agent's suggested priority each month.
Before you start: Export last month's incident issues from Jira, including duplicates and time to set priority.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay for the build once. Running it costs roughly $20 to $200 a month for AI usage and CI minutes, billed to your own accounts. Jira licenses and your Atlassian plan are unaffected.
Usage during the trial runs is charged to your accounts too, so the API token and every provider account remain with your team.
Ask about running costsCustom requirements
Covering more than one repository or stack, writing to custom Jira objects or adding Jira Service Management workflows needs a written Change Quote. Add a checkout note and we send it to you.
Request a custom versionKeep it running
We recommend monthly maintenance: monitoring, fixes and monthly change hours for things such as a new component mapping or revised severity rules. Maintenance starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | Incident platforms are commonly priced per responder each month | A DevOps consultancy bills by the day | Ours is one fixed price, shown before you buy |
| Duplicate tickets | Grouping varies by plan | Depends on the brief | Ours adds repeat alerts to the open Jira incident |
| First update | An alert title | Written by whoever is on call | Ours posts a drafted Jira comment with a likely cause |
| Delivery | Migration to a new tool | Set per engagement | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How does the Jira triage avoid opening duplicate incident issues?
Before creating an issue, it searches the incident project for an open one about the same service and symptom. If it finds one, the new alert is added as a comment on that issue. Only alerts with no matching open incident create a new Jira issue.
Which Jira fields does incident triage fill in?
Those in the documented mapping, typically summary, description, priority and component, plus any custom fields you use for severity or cause. Priority is a suggestion based on your rules, and the on-call engineer can change it. Custom Jira objects outside the mapping need a Change Quote.
Does it need access to our code as well as Jira?
Yes, read access to your Git host as the one extra system in scope, so recent commits and deploys can be checked for a likely cause. Without it the triage still groups alerts and drafts updates, but cannot point to the change that probably caused the failure.
Can the Jira incident triage close or resolve issues?
No. It creates issues, adds comments and suggests fields, but it never resolves, closes or reassigns a confirmed incident. Production changes such as rollbacks or restarts are never made. Every decision about the incident, including when it is resolved, stays with your engineers.
What comes with the Jira incident edition at every delivery speed?
Every delivery option includes the Jira field mapping, a trial on 20 pipeline runs or pull requests, two rounds of changes and the recorded forty-five-minute handoff. Only the date changes. The delivery panel shows the standard date and the faster express and rush options, each priced, before you order.
Does it work with Jira Cloud and an Atlassian API token?
Yes. Access is through an Atlassian API token or OAuth app created by your Jira admin and shared securely, never by email. The token's user permissions limit what the triage can see and change, so you can restrict it to the incident project only.
Open each Jira incident with the context already there.
Order AI Incident Triage for Jira and on a fixed delivery date alert storms become one Jira incident with a suggested priority, a likely cause and a drafted first comment.
Works well with
