How issues reach Jira
From AI Recommendations
surface patterns the AI detects across your conversations — knowledge gaps, recurring complaints, product friction. When a recommendation is worth acting on, push it to Jira.Open AI Recommendations
Navigate to AI Recommendations in your OpenCX dashboard.
Review and push
Select a recommendation. Click Push to Jira. OpenCX uses the AI to generate:
- Summary — a concise issue title derived from the recommendation.
- Description — the recommendation detail with conversation evidence and a link back to the OpenCX session.
Override defaults (optional)
Before confirming, you can change the target project and issue type. If you don’t, OpenCX uses the defaults you set during setup.
Each recommendation can only be pushed to Jira once. If you need to update the issue, edit it directly in Jira.
From Customer Insights
cluster similar feedback across many conversations. A single insight might represent dozens of customers reporting the same friction point. When an insight reaches critical mass or warrants product action:- Open Customer Insights in your dashboard.
- Select the insight and click Push to Jira.
- The created issue includes the aggregated evidence — how many customers reported it, representative quotes, and affected conversation links.
From conversations
OpenCX can detect actionable items during live conversations and create Jira issues directly. Common use cases:Partnership and business requests
Partnership and business requests
When a customer asks about partnerships, enterprise deals, or requests that need a different department’s involvement, the AI creates a Jira issue in the appropriate project and continues the conversation — informing the customer that their request has been logged.
Bug reports from customers
Bug reports from customers
When a customer describes a product issue with enough detail, the AI can create a bug report in your engineering project. The issue includes the customer’s description, steps to reproduce (when provided), and the full conversation transcript.
Feature requests during support
Feature requests during support
Customers frequently suggest features during support interactions. The AI captures these as structured feature requests in your product backlog, tagged with the conversation context so your team understands the “why” behind the request.
What the Jira issue looks like
Every issue OpenCX creates contains:| Field | Content |
|---|---|
| Summary | AI-generated title summarizing the feedback, bug, or request. |
| Description | Detailed context including the recommendation or insight body, customer quotes, and a View session in OpenCX link. |
| Project | Your default project, or the override you selected. |
| Issue type | Your default type (e.g. Task, Bug, Story), or the override. |
| Custom fields | Any fields you’ve configured in field mappings. |
The View session in OpenCX link in the description opens the full conversation transcript, AI reasoning, and tool calls in your Inbox. Your product team can audit any issue back to the exact customer interaction that drove it.
Field mappings in practice
Field mappings configured in your integration settings apply to every issue OpenCX creates. Use them to:- Route issues to the right Jira component or label automatically.
- Set priority based on the AI’s assessment of severity or customer impact.
- Populate custom fields your team relies on for triage, reporting, or automation.
Good to know
One-way sync
One-way sync
The integration creates issues in Jira — it does not sync updates from Jira back to OpenCX. Once an issue is created, your team manages it entirely within Jira.
Deduplication
Deduplication
Each recommendation or insight can be pushed to Jira once. OpenCX prevents duplicate issues from the same source. If the same underlying feedback surfaces through multiple insights, they become separate Jira issues.
Project and issue type selection
Project and issue type selection
OpenCX loads your available Jira projects and issue types from the Atlassian API. If a project or issue type is missing from the selection, confirm the API token’s account has access to it in Jira.
Related Documentation
Overview
What the Jira integration does and supported capabilities.
Connect Jira
Credentials, field mappings, and connection setup.
Troubleshooting
Issues not created, wrong project, field mappings missing.
Autopilot
Configure which topics the AI handles and when it escalates.