Jira AI layers Rovo Search Chat and Agents into Jira to summarize issues draft tickets automate updates and answer project questions with permission aware context across software and business teams.
productivity
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is Jira AI?

Discover how Jira AI can enhance your workflow

Jira AI enhances Jira with natural language assistance for planning triage and delivery. Rovo Search and Chat pull context from issues epics and linked Confluence pages while Agents perform scoped actions like creating tickets updating fields drafting summaries and preparing standups. Suggestions appear where work happens from backlogs to boards and PRs with permission aware results that mirror Atlassian access controls. Admins manage enablement usage and data policies centrally. Pricing is bundled with Jira plans that include Atlassian Intelligence capabilities with clearer AI access on paid tiers and optional Rovo features rolling out across products. Typical gains include faster grooming better standup prep consistent ticket hygiene and less context switching between Jira Confluence and chat. Teams adopt Jira AI to accelerate routine coordination while keeping audit trails comments and history in one system of record.

Key Capabilities

What makes Jira AI powerful

Rovo Search

Ask natural language questions about work and get cited answers from issues epics and Confluence with links for verification.

Implementation Level Intermediate

AI Summaries

Generate ticket descriptions standup notes and release briefs that reduce manual writing and keep teams aligned.

Implementation Level Intermediate

Scoped Agents

Create issues update fields and trigger routine workflows with approvals so hygiene improves without busywork.

Implementation Level Basic

Admin Controls

Enable per project manage usage and respect permissions and audit so adoption remains safe and compliant.

Implementation Level Professional

Key Features

What makes Jira AI stand out

  • Rovo Search that understands issues and Confluence context to answer questions with links
  • Chat that drafts summaries updates and follow ups inside Jira views
  • Agents that create issues update fields and prepare standups on request
  • Permission aware grounding that respects project roles and scopes
  • Backlog and sprint help that proposes grooming and acceptance text
  • Integrated notes and actions that keep audit trails in comments
  • Admin controls for rollout usage and data boundaries across sites
  • Connectors expanding reach to other tools through the Rovo ecosystem

Use Cases

How Jira AI can help you

  • Backlog grooming where descriptions acceptance criteria and labels are drafted to a consistent standard
  • Daily standups where summaries blockers and next steps are compiled from recent activity
  • Incident coordination where Agents assemble timelines tasks and handoffs quickly
  • Release readiness where related issues and risks are summarized for go no go
  • Support escalation where bug tickets are prepared from chat threads with context
  • Executive updates where progress rollups link to epics and roadmaps
  • Runbook tasks where repetitive field changes are automated safely
  • New team onboarding where chat answers how to questions about workflows

Perfect For

software teams project managers product owners and platform leads that use Jira and want AI assistance for drafting updates grooming and analysis with governance

Plans & Pricing

Free / From $7.53 per user per month

Visit official site for current pricing

Quick Information

Category productivity
Pricing Model Free plan
Last Updated 3/20/2026

Compare Jira AI with Alternatives

See how Jira AI stacks up against similar tools

Frequently Asked Questions

How is Jira AI priced today?
AI capabilities are included on paid Jira tiers with access to Rovo Search Chat and Agents highlighted on pricing pages verify your edition for exact entitlements.
Does it respect Jira permissions?
Yes search results and agent actions inherit Jira and Confluence permissions so users only see and change what they are allowed to.
Can it create issues automatically from chat?
Agents can draft and create issues from prompts and standup prep leaving comments and links for transparency and review.
Will it replace our backlog grooming process?
It speeds writing and checks but product owners still review accept and prioritize to maintain quality and intent.
What data does it use for answers?
It uses Jira and Confluence context through Rovo while respecting scopes admins can adjust access and logging for governance.
Can we disable AI per project?
Admins can manage enablement by site product and project to align with policy and change management.
How do we audit AI actions?
Agent actions and generated content leave history comments and logs so teams can review diffs and outcomes later.
Does it integrate with other tools?
Rovo connectors expand reach to additional systems and Atlassian products enabling broader context and actions over time.

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