Jira

Let your AI agent manage Jira tickets while your team ships code

Customers report bugs, request features, and ask about issue status. Your AI agent creates Jira issues with full context, searches existing tickets by JQL, transitions workflows, and updates stakeholders, all without a single human switching tabs.

Chosen by 800+ global brands across industries

Project management on autopilot

Your agent interacts with Jira's 59 API endpoints to create, search, update, and transition issues, keeping your boards current and your team focused on building.

Jira

Use Cases

Issue tracking meets conversational AI

Bug reports, feature requests, and status checks happen in chat. Your agent turns them into structured Jira tickets and real-time project updates.

Bug Reports That Write Themselves

A customer describes an error they encountered on your app. Your AI Agent asks clarifying questions about browser, steps to reproduce, and expected behavior, then calls Jira's create issue endpoint with all details, sets priority to High, assigns it to the engineering team, and confirms the ticket number to the customer. Your developers get fully formed bug reports instead of vague one-liners.

Instant Status Updates for Stakeholders

A product manager messages 'How many critical bugs are open this sprint?' Your AI Agent runs a JQL query filtering by priority=Critical and sprint=active, counts the results, and returns a breakdown by assignee. The PM gets data in seconds instead of opening Jira, building filters, and scanning boards. Sprint meetings start with facts, not hunting.

Automated Ticket Closure After Resolution

A support agent resolves a customer's issue in chat. Your AI Agent finds the linked Jira ticket, retrieves available workflow transitions, moves the issue to 'Resolved,' adds a closing comment with the resolution summary, and notifies the customer. Tickets stay current without anyone manually updating the board after every conversation.

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Jira

Jira

FAQs

Frequently Asked Questions

How does the AI agent create Jira issues with the correct issue type and project?

You configure default project keys and issue types in your agent's tool settings. The agent can also ask the customer which product area is affected, then map that to the correct Jira project. Issue type (Bug, Task, Story) is selected based on conversation context or explicit rules you define.

Can the agent search Jira using custom JQL queries?

Yes. The agent uses Jira's JQL search endpoints (both GET and POST) to run any valid query. You can configure preset queries for common requests or let the agent construct JQL dynamically based on customer input like project name, status, assignee, or date range.

What Jira permissions does Tars need to function?

Tars authenticates using a Base64-encoded email:API token pair. The token inherits the permissions of the associated Atlassian account. We recommend creating a dedicated service account with permissions to create issues, add comments, transition workflows, and read projects. You control what the agent can and cannot do.

Does the agent work with Jira Software, Jira Service Management, or both?

The integration uses Jira's REST API v3, which works across Jira Software and Jira Service Management Cloud instances. Any project, board, or issue type accessible through the API can be managed by the agent, including sprints, versions, and service desk queues.

Can the agent handle custom fields when creating or editing issues?

Yes. The agent calls Jira's get fields and get issue edit metadata endpoints to discover custom field IDs. You can map conversation inputs to specific custom fields, for example mapping a 'browser version' question to your custom 'Browser' field.

How is this different from Jira's built-in automation rules?

Jira automation triggers on internal events like status changes. Tars AI Agents trigger on external customer conversations across any channel, including your website, WhatsApp, and SMS. The agent understands natural language, gathers context through dialogue, and creates issues that are richer than what a static automation rule produces.

What happens if a customer reports a duplicate bug?

You can configure the agent to search Jira for similar issues before creating a new one. If a potential duplicate is found, the agent shows the customer the existing ticket and its status instead of creating a new issue. This keeps your backlog clean and reduces triaging work.

Can the agent assign issues to specific team members?

Yes. The agent uses Jira's find users endpoint to look up team members by email or display name, then assigns the issue accordingly. You can also set routing rules, for example assigning all billing bugs to the finance team or all API issues to the platform squad.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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