
Connectors / Integration
Connect Atlassian Tools with Confluence to Keep Your Team's Knowledge Current
Automate documentation, sync project data, and keep your Confluence knowledge base up to date with tray.ai.
Atlassian + Confluence integration
Atlassian's suite of tools — Jira, Jira Service Management, Trello — generates a constant stream of project activity, decisions, and outcomes that teams depend on to stay aligned. Confluence is where that institutional knowledge is meant to live. But without automation, keeping Confluence pages in sync with live Jira issues, sprint results, and service desk activity means tedious manual effort that teams rarely have time for.
Integrating Atlassian tools with Confluence through tray.ai closes the gap between where work happens and where knowledge is stored. When Jira sprints close, release notes get generated in Confluence automatically. When incidents are resolved in Jira Service Management, post-mortems are created and linked directly to the relevant Confluence space. Engineering, product, and operations teams get a living knowledge base that reflects the real state of work — no one has to manually copy, paste, or remember to document. That means faster onboarding, better retrospectives, cleaner audit trails, and documentation that actually keeps pace with your organization.
Automate & integrate Atlassian + Confluence
Automating Atlassian and Confluence business processes or integrating data is made easy with Tray.ai.
Use case
Automated Sprint Retrospective Documentation
At the close of every Jira sprint, tray.ai compiles completed issues, blockers, and velocity metrics and publishes a structured retrospective page in the designated Confluence space. Teams arrive at their retro meetings with documentation already prepared and linked to source tickets. No more Sunday-night scramble to pull together sprint summaries before Monday standups.
- Saves 30–60 minutes of manual documentation work per sprint
- Retrospectives are consistently structured and stored in the right Confluence space
- Searchable archive of sprint history linked directly to Jira issues
Use case
Incident Post-Mortem Page Creation
When a Jira Service Management incident is resolved and marked as closed, tray.ai creates a post-mortem Confluence page pre-populated with the incident timeline, affected services, assignee, and resolution notes. The page lands in the correct runbook or incident space and links back to the original Jira ticket. Engineering and SRE teams can focus on learning from incidents rather than formatting documents.
- Reduces time-to-documentation for incidents from days to seconds
- Standardizes post-mortem format across all incidents and teams
- Builds a searchable, cross-linked incident history in Confluence
Use case
Release Notes Generation from Jira Fix Versions
When a Jira fix version is released, tray.ai queries all resolved issues tied to that version and generates a formatted release notes page in Confluence, organized by issue type — bugs, features, improvements. Product and engineering managers don't need to manually compile changelogs before each release. Stakeholders always find the latest release notes where they expect them.
- Automates changelog creation for every product release
- Groups issues by type for clear, stakeholder-friendly release notes
- Links each release notes page back to the corresponding Jira version
Use case
Jira Epic and Project Overview Pages
When a new Jira epic or project is created, tray.ai generates a corresponding Confluence overview page with the epic's goal, linked stories, owner, and target timeline. As the epic progresses and child issues are updated, the Confluence page reflects the latest status. Stakeholders get a single place to understand project scope and progress without digging through Jira filters.
- Creates documentation scaffolding automatically at project kickoff
- Keeps Confluence project pages current with live Jira epic status
- Reduces ad hoc status update requests to project owners
Use case
Knowledge Base Article Creation from Resolved Support Tickets
When a Jira Service Management ticket is resolved with a designated resolution tag, tray.ai extracts the issue summary, root cause, and resolution steps and drafts a new Confluence knowledge base article. Support teams build a self-service library as they resolve tickets, cutting repeat inquiries over time. Articles can be routed for review before publishing to ensure accuracy.
- Converts resolved tickets into reusable knowledge base articles automatically
- Reduces repeat support tickets by surfacing self-service answers in Confluence
- Builds a growing knowledge base without dedicated documentation effort
Use case
Team Meeting Notes and Action Item Sync
When action items are captured in Confluence meeting notes and tagged with Jira project keys, tray.ai creates corresponding Jira issues and links them back to the originating Confluence page. This closes the loop between decisions made in Confluence and execution tracked in Jira. Teams stop losing track of commitments made in meetings.
- Converts Confluence action items into Jira issues without manual ticket creation
- Links every Jira issue back to the meeting notes where it was committed
- Reduces dropped action items and improves meeting accountability
Challenges Tray.ai solves
Common obstacles when integrating Atlassian and Confluence — and how Tray.ai handles them.
Challenge
Keeping Confluence Pages in Sync with Rapidly Changing Jira Data
Jira issues, statuses, and sprint data change constantly throughout the day, and manually maintained Confluence pages go stale almost as soon as they're written. Teams end up with outdated project summaries and sprint trackers that stakeholders can't trust.
How Tray.ai helps
tray.ai listens for Jira webhook events in real time and triggers Confluence page updates whenever issue fields change — status transitions, assignee changes, sprint completions. Pages stay current without any human intervention.
Challenge
Inconsistent Documentation Formats Across Teams
Different squads and project managers create Confluence pages in their own styles, making it hard to find, compare, or roll up information across teams. Post-mortems look different, release notes vary in structure, and retrospectives are stored in inconsistent locations.
How Tray.ai helps
tray.ai uses standardized Confluence page templates as the output of every workflow, so every automated page has the same structure regardless of which team or project triggered it. Naming conventions, space locations, and page hierarchies are all defined in the workflow config.
Challenge
Bidirectional Linking Between Jira and Confluence
Jira issues often lack links to relevant Confluence documentation, and Confluence pages lose their connection to the Jira issues that drove them. Team members end up searching across both tools to reconstruct context, which slows down reviews and audits.
How Tray.ai helps
tray.ai adds remote issue links in Jira pointing to the generated Confluence page and embeds the Jira issue key as a link within the Confluence page itself. Both systems are cross-referenced from the moment the workflow runs, so every artifact has full bidirectional traceability.
Templates
Pre-built workflows for Atlassian and Confluence you can deploy in minutes.
When a Jira sprint is completed, this template pulls all sprint issues, calculates completion metrics, and creates a structured retrospective page in Confluence with sections for what went well, blockers, and action items.
Automatically creates a Confluence post-mortem document when a Jira Service Management incident ticket is resolved, pre-filling the page with incident metadata, timeline, and resolution notes.
Triggers when a Jira fix version is marked as released and compiles all associated resolved issues into a formatted Confluence release notes page organized by issue type.
When a new Jira epic is created, this template generates a linked Confluence project overview page with the epic's description, owner, timeline, and a live issue table populated from Jira.
When a Jira Service Management ticket is resolved and tagged with a specified label, tray.ai creates a draft knowledge base article in Confluence pre-filled with the issue description and resolution for team review before publishing.
How Tray.ai makes this work
Atlassian + Confluence runs on the full Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Atlassian and Confluence — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Atlassian + Confluence actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Ship your Atlassian + Confluence integration.
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