Stop manually copying specs between wikis and tickets. Redbird AI syncs documentation, requirements, and project context between Confluence and Jira automatically — so engineering teams always work from the latest source of truth.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When product or engineering teams publish new requirement pages in Confluence, automatically generate linked Jira issues with extracted acceptance criteria, technical notes, and component assignments. Eliminates duplicate data entry and keeps implementation aligned with specs.
Update Confluence project dashboards and status pages with real-time sprint progress, completion percentages, and blocker summaries from Jira. Keeps stakeholders informed without engineers manually updating documentation after every standup.
Automatically compile customer-facing release notes and internal changelogs in Confluence by aggregating completed Jira issues, filtering by label and fix version. Transforms ticket descriptions into formatted documentation sections without manual copy-paste.
Monitor linked Confluence pages for requirement updates while Jira tickets are in progress. Notify assignees and post comments on affected issues when specifications change, preventing teams from building against outdated requirements.
When engineers create or update Jira issues, automatically pull relevant background from linked Confluence pages — architectural decisions, implementation guidelines, and API documentation — into ticket descriptions or comments for faster context loading.
After sprint completion, compile Jira velocity metrics, completed work, and team comments into formatted Confluence retrospective pages. Builds searchable institutional knowledge from sprint data without manual documentation sessions.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Confluence and Jira with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both Confluence's wiki structure and Jira's issue hierarchy — from page trees and macros to epics, stories, and custom fields.
Redbird parses Confluence Storage Format and page metadata to extract requirements, decisions, and structured content. It maps this to Jira's issue types, custom fields, workflows, and project configurations — understanding how your team structures specs, epics, stories, and technical documentation. The AI identifies relationships between pages and tickets, preserves formatting context, and knows which Confluence sections map to specific Jira field types.
faster than manually syncing docs and tickets
Redbird can pull from Confluence and Jira simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Confluence or Jira.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Confluence into Jira, or from Jira back into Confluence. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any documentation update in Confluence or issue change in Jira — Redbird handles the rest.
Fires when a Confluence page is created, edited, or has its status changed in a specific space.
Triggers when team members leave comments or inline feedback on Confluence documentation.
Detects when documentation is reorganized or removed from active spaces.
Generate new Confluence pages or modify existing content with structured data from other systems.
Post automated comments on documentation with alerts, status updates, or extracted information.
Create bidirectional links between Confluence documentation and specific Jira tickets programmatically.
Fires when Jira tickets are created, modified, or have field values changed.
Triggers when issues move between workflow states like In Progress, Code Review, or Done.
Detects sprint lifecycle events for automated reporting and documentation updates.
Generate Jira tickets or modify existing issues with extracted requirements and specifications.
Post automated updates on tickets with context from documentation or external system changes.
Populate Jira custom fields with enriched data, metrics, or cross-referenced information from Confluence.
See how Redbird AI syncs Confluence documentation with Jira workflows — keeping your engineering team aligned without manual ticket updates or outdated specs.