Atlassian Intelligence - AI features for Jira, Confluence, and Jira Service Management

Atlassian Intelligence is an integrated artificial intelligence (AI) layer across Atlassian Cloud products such as Jira, Confluence, and Jira Service Management (JSM). Powered by Rovo AI, it provides machine-learning capabilities to automate tasks, generate summaries, improve search, and assist service teams. For IT managers and CTOs in DACH (Germany, Austria, Switzerland) organisations, it can boost team efficiency and speed project delivery, while requiring careful attention to GDPR (General Data Protection Regulation) and data-residency configuration.

Quick Answer

Atlassian Intelligence adds AI-powered automation and writing/search assistance across Jira and Confluence, plus a Virtual Service Agent in JSM that can reduce Level 1 (L1) support tickets by surfacing answers from knowledge bases. Atlassian states customer data used by these features is not used to train public large language models and AI features respect existing permission models, but organisations must configure data residency and agreements to meet GDPR requirements.

How Atlassian Intelligence appears in Jira and Confluence

• In Jira Software

  • Auto-generates issue summaries and can suggest issue descriptions from short prompts.
  • Enables natural-language search queries (e.g., "Show me all high-priority bugs assigned to my team this week") as an alternative to complex JQL (Jira Query Language).

• In Confluence

  • Acts as a writing assistant to summarise long pages into bullet points, change tone (for example, from technical to executive summary), and draft initial content from a few keywords.

These features are implemented to suit each product’s common use cases rather than being a single identical capability across the platform.

Virtual Service Agent in Jira Service Management (JSM)

The Virtual Service Agent embeds into chat platforms like Slack and Microsoft Teams. When an employee asks a question (for example, "How do I connect to the VPN?"), the agent searches connected Confluence knowledge bases and past tickets to provide a conversational answer. If the AI cannot resolve the request, it hands context over to a human agent, which can drastically reduce L1 support-ticket volume.

Data privacy, GDPR, and permission model

• Atlassian has explicitly stated that customer data used by Atlassian Intelligence is not used to train public large language models (for example, OpenAI's public ChatGPT).
• AI features respect existing permission models: an AI will not summarise a Confluence page for a user who does not have read access to that page.
• Despite these protections, organisations—especially in the DACH region—must carefully configure data-residency options and review Atlassian’s data-processing agreements and subprocessors to ensure compliance with GDPR and internal policies.

Common pitfalls and operational considerations

• Not reviewing Atlassian’s data processing agreements and subprocessors can lead to unintended data transfers outside the EU.
• Incorrect configuration of data residency options can result in data being stored in non-compliant regions.
• Lack of internal policies and user training on responsible AI use increases the risk of exposing sensitive information via AI-generated content.
• Underestimating the effort to clean and maintain knowledge bases means the AI may surface outdated or incorrect answers ("garbage in, garbage out").

Acronyms and terms defined

• AI — artificial intelligence.
• GDPR — General Data Protection Regulation.
• DACH — Germany, Austria, Switzerland.
• JSM — Jira Service Management.
• JQL — Jira Query Language.
• L1 — Level 1 (first-line) support.

Related reading

• What is Atlassian? The Complete Platform Guide for Enterprises
• Confluence: Team Knowledge Base and Wiki
• Jira Service Management (JSM) — Complete ITSM Guide