Rovo is a built-in AI capability across Atlassian Cloud products that helps teams work faster, write better, find information more easily, and automate repetitive service work. It is embedded directly into Answers and Orange Tracker, using your existing content and workflows to provide contextual, secure, and actionable assistance.

Rovo respects Atlassian’s security and privacy model and only uses content that users already have access to.

Atlassian Rovo in Answers

Atlassian Rovo in Answers focuses on content creation, summarization, discovery, and knowledge management.

1. AI-Powered Content Creation

Rovo can help you create and improve documentation directly inside the Answers editor.

Key capabilities:

• Generate new pages from prompts (e.g., policies, runbooks, SOPs)

• Rewrite or improve existing content

• Change tone (professional, concise, friendly, etc.)

• Expand bullet points into full documentation

• Create outlines and structured drafts

Common use cases:

• Writing technical documentation

• Creating onboarding guides

• Drafting policy and compliance pages

• Improving clarity of existing knowledge articles

2. Page and Space Summaries

Rovo can automatically summarize long pages and entire spaces.

Key capabilities:

• Generate a short summary of a page

• Create a high-level summary of a space

• Extract key takeaways from long documentation

Common use cases:

• Quickly understanding legacy documentation

• Reviewing long procedures or runbooks

• Getting an overview of a project or initiative space

3. Smart Search and Q&A (Rovo Search Integration)

With Atlassian’s AI-powered search experience, users can ask natural-language questions and get direct answers from Answers content.

Key capabilities:

• Ask questions in plain language

• Receive summarized answers with source links

• Search across pages, spaces, and connected tools

Examples:

• “How do I request a new VM?”

• “What is our MFA policy?”

• “Where is the onboarding checklist?”

4. AI Editing and Formatting

Rovo helps clean up and standardize content.

Key capabilities:

• Fix grammar and spelling

• Improve clarity and readability

• Convert notes into polished documentation

• Reformat text into tables, bullet points, or sections

Common use cases:

• Turning meeting notes into formal documentation

• Standardizing style across teams

• Improving readability for broad audiences

5. Knowledge Reuse and Discovery

AI helps surface relevant pages while you write.

Key capabilities:

• Suggest related pages

• Recommend existing documentation

• Reduce duplicate content

Common use cases:

• Preventing duplicate SOPs

• Linking related procedures

• Improving documentation consistency

Atlassian Rovo in Orange Tracker

In Orange Tracker, Rovo focuses on service automation, ticket handling, knowledge deflection, and faster resolution.

1. Agentic AI (Chat & Portal)

Agentic AI provides conversational support in chat and portals.

Key capabilities:

• Answers user questions using knowledge base articles

• Guides users through request creation

• Suggests relevant forms and workflows

• Deflects tickets by resolving issues before submission

Examples:

• “How do I reset my password?”

• “Request a new laptop”

• “How do I get VPN access?”

2. AI Ticket Summaries

Rovo can automatically summarize long or complex tickets.

Key capabilities:

• Summarize customer requests

• Summarize internal notes and comments

• Extract key actions and outcomes

Common use cases:

• Fast handoffs between agents

• Escalations and incident reviews

• Management reporting

3. AI-Powered Agent Assistance

Agents receive real-time AI suggestions while working tickets.

Key capabilities:

• Suggested responses

• Knowledge article recommendations

• Action suggestions based on ticket context

Common use cases:

• Faster first response time

• More consistent support quality

• Reduced training time for new agents

4. AI Request Classification

Rovo can automatically classify incoming requests.

Key capabilities:

• Detect request type

• Suggest priority and urgency

• Route to the correct team or queue

Common use cases:

• Faster triage

• Reduced manual categorization

• Improved SLA compliance

5. AI Incident and Post-Incident Support (Operations)

For major incidents, AI helps with coordination and reporting.

Key capabilities:

• Summarize incident timelines

• Generate post-incident reports

• Extract root cause and resolution details

Common use cases:

• Incident reviews

• Executive reporting

• Compliance documentation

6. Knowledge Article Generation from Tickets

Rovo can convert resolved tickets into draft knowledge articles.

Key capabilities:

• Generate KB article drafts

• Extract troubleshooting steps

• Create reusable solutions

Common use cases:

• Growing the knowledge base automatically

• Reducing repeat tickets

• Improving self-service