Sync Jira and Azure DevOps with OIM

• Bidirectional sync that works: Enable real-time, two-way sync of issues, work items and more across systems to eliminate manual errors and duplication. Stay updated and track progress directly in your work tools without switching platforms.
• Scale your integrations without slowing down Jira or ADO: OIM runs externally (no in-tool plugins), keeping Jira and Azure DevOps fast and stable—even at high volumes and across multiple teams.
• No code integration setup: Configure Jira-ADO integration through a drag-and-drop, GUI-based setup, offering full sync control for both technical and non-technical users. Also, customize mappings and workflows with ease.
• Ensure rich data sync with images, mentions, files: Preserve attachments, comments, links, worklogs, history, rank and user mentions. Maintain rich-text fidelity between Jira’s wiki and Azure DevOps’ HTML formats. Sync status transitions, and relationships —so both tools reflect the same lifecycle reality.
• 100% sync guarantee: OIM provides 100% guarantee that every work item and update reaches the target system as expected. It includes mechanisms to handle downtime, failures, and conflicts, ensuring reliable synchronization.
• Move issues across projects without worrying about sync: Imagine moving a work item across project or changing its type. OpsHub takes care of data movement between projects and Issue types without creating duplicates and orphans while retaining comments, files and links.
• Flexible Deployment: Deploy OIM on-premise or in the cloud to fit your environment and policies.

• Bug tracking & resolution: Development teams using ADO can work on bugs and link progress updates to Jira, ensuring project managers have real-time visibility.
• Feature management: Sync feature requests and development progress to ensure alignment between product and engineering teams.
• Iteration management: Sync high-level requirements in ADO to sync with Jira as stories or tasks, enabling teams to break down and organize work within each iteration. This ensures alignment on what needs to be accomplished within a given release cycle.