Every new Jira ticket gets an instant AI draft reply grounded in your past tickets and Confluence docs posted as a comment before your agent reads it. No tab switching. No copy-paste.
What your agents see
The moment a ticket is created, the agent finds similar past tickets, relevant Confluence docs, and generates a grounded draft posted as a comment before anyone picks it up.
AI Triage
just now · via A2A Gateway
🤖 AI Triage draft
Thank you for reaching out. Based on what you've described, this is a known issue affecting high-volume AWS CloudWatch forwarder deployments.
The fix is to redeploy using the v4.7.0+ CloudFormation template, which resolves this via an SQS dead-letter queue and exponential backoff retry logic [4].
Sources: [1] ENG-2: CloudWatch forwarder dropping events · [4] AWS CloudWatch Forwarder Setup (Confluence) · [3] SUP-2: Globex missing logs resolved
Suggested — priority: Highest · labels: aws, ingestion
Real output from the agent on a real ticket. Sources cited, priority suggested, ready to send.
Setup in 3 steps
No engineering work. No new infrastructure. Installs directly from the Atlassian Marketplace.
One click in the Atlassian Marketplace. The app installs into your Jira project no code, no servers you manage.
Enter your Atlassian API token in Project Settings. Hit "Sync" the agent reads your Jira history and Confluence docs and indexes them.
From this point on, every new Jira issue gets an AI draft reply posted as a comment within seconds grounded in your actual data.
Built for support teams
Claude generates a customer-facing draft reply with inline citations. Your agent reviews, edits, and sends no starting from scratch.
Semantic search finds related resolved tickets. If someone already solved this problem, the agent finds it and cites it.
Automatically syncs your Confluence docs. The agent surfaces the right KB article, setup guide, or runbook cited by name.
Suggests priority, labels, and assignee based on ticket content and patterns from past issues. One click to apply.
The AI Triage panel sits right inside the Jira issue view — no new tools. Agents see the draft, sources, and classification in one place.
Admins manage credentials and trigger syncs from Project Settings → AI Triage. No CLI, no SSH, no engineering required.
The platform behind it
The Jira triage agent is built on A2A Gateway — an open platform for deploying AI agents on your own infrastructure. The same stack can be configured for Zendesk, GitHub Issues, Linear, or any internal process your team follows.
If you're a company that needs a custom agent — different data sources, different workflows, different tools — we build it. Your knowledge base, your rules, your infrastructure.
Talk to us about a custom agentWorks on your own servers
Self-hosted on Hetzner, AWS, GCP, or bare metal. Your data never leaves your network.
Bring your own LLM
Swap Anthropic for OpenAI, Gemini, or a local model with one environment variable.
Multi-tenant from day one
Isolated data per customer, shared infrastructure. Built for Marketplace distribution.
Open platform
Built on an open agent platform. Self-host the entire stack on your own infrastructure with no lock-in.
Simple pricing
Pricing is managed directly through the Atlassian Marketplace. Pay per user, alongside your existing Jira subscription.
$0
Up to 10 users
Full access. No credit card. Install from the Atlassian Marketplace.
Install free$4.53 / user / mo
11–100 users
Billed through Atlassian. Volume discounts apply automatically — as low as $1.23/user/month for larger teams.
Install from MarketplaceCustom
Self-hosted / on-prem
Deploy on your own infrastructure. Data never leaves your network. Contact us for pricing.
Contact usAll paid plans billed through Atlassian Marketplace. · Cancel anytime.
Install from the Atlassian Marketplace, connect your knowledge base, and your team gets AI draft replies on every new ticket — in under 10 minutes.