Atlassian Rovo AI Powered Search,Chat & Agents
Atlassian Rovo is Atlassian’s AI-powered enterprise search and knowledge discovery platform that connects data across tools like Jira, Confluence, Google Drive, Slack, and Microsoft Teams. Built on the Teamwork Graph, it combines AI search, conversational chat, and specialized autonomous agents to reduce context-switching and help teams find information faster. Rovo uses generative AI to automate workflows, deliver contextual answers, and improve productivity and collaboration across organizations.
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How Atlassian Rovo Simplifies Enterprise Search and Workflow Automation
Atlassian Rovo solves one of the most common enterprise challenges—information scattered across multiple tools and teams. In most organizations, data silos and disconnected platforms make it difficult to find relevant knowledge quickly, leading to slower decisions and reduced productivity. Rovo addresses this by using AI to unify search, connect data sources, and enable automated workflows across the enterprise.
At its core, Rovo combines intelligent enterprise search with AI-driven assistance to turn fragmented information into actionable insights. Instead of just retrieving data, it helps teams understand context, connect related work, and execute tasks directly within their workflow. This is powered by AI capabilities and a connected data model through the Teamwork Graph, which links people, content, and projects into a single intelligent system.
Rovo Search
- Cross-tool Discovery:Finds exact documents, data, or insights without needing to know which specific platform holds them.
- Contextual Insights: Provides knowledge cards and summarizes company-specific data right inside your search results.
Rovo Chat
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Action-Oriented: Users can chat with the AI to brainstorm, ask clarifying questions, or give it commands (e.g., “Summarize the recent meeting and draft a Jira ticket for this task”).
- Multi-tasking: Acts as a teammate that helps resolve bottlenecks and manage projects dynamically.
Rovo Agents & Studio
- Automated Workflows:Agents can be assigned to tasks such as updating Jira backlogs, organizing Confluence pages, or supporting employee onboarding.
- Rovo Studio: Allows users to build custom AI agents and workflows using natural language or connect external tools via the MCP (Model Context Protocol) gallery.
Empyra’s Atlassian Tool Stack
ROI From Atlassian Rovo:Productivity and Efficiency Gains
Atlassian Rovo delivers strong ROI by improving search efficiency, reducing operational delays, and accelerating execution across engineering, support, and business teams. By combining AI-powered search with workflow automation, organizations gain measurable productivity improvements and faster decision-making across departments.
Search that actually finds what you need
Enterprise search becomes significantly more accurate as Rovo connects Atlassian tools and 40+ integrated apps, helping users save 30+ minutes daily and improve search success rates by up to 60%.
Less time searching, more time working
Rovo reduces search time across connected systems by nearly 70%, enabling teams to access relevant context instantly and focus more on productive execution instead of tool switching.
Reduced support workload
Support teams benefit from 15–40% ticket deflection and nearly 60% fewer repetitive queries as AI-powered automation handles routine requests and improves self-service efficiency.
Faster engineering delivery cycles
Engineering teams experience up to 45% faster PR cycles and around 40% reduced review time as AI assistance minimizes context switching and streamlines development workflows.
Faster rollout and higher adoption rates
Organizations achieve 25–35% faster deployment and up to 50% higher adoption by using structured onboarding, role-based training, and effective change management strategies.
Smarter decisions with faster insights
Teams make decisions up to 50% faster by using AI-generated summaries and connected data insights that provide instant cross-tool visibility and reduce reporting delays.
Approach to Implement Atlassian Rovo in Enterprises
Implementing Atlassian Rovo in an enterprise requires a structured, phased rollout that ensures fast time-to-value while maintaining security, governance, and scalability. The approach is designed to move from assessment to full-scale adoption with measurable ROI at every stage. Each phase focuses on delivering tangible outcomes such as improved search efficiency, automation speed, and knowledge accessibility.
This initial phase focuses on identifying 3–6 high-value enterprise use cases and estimating potential ROI over a 3–6 month period. Teams define success metrics and pilot opportunities to ensure alignment with business goals.
Deliverables: Assessment report, ROI analysis, and pilot recommendations.
Organizations enable enterprise-wide activation within 3–5 days, followed by permission configuration (2–3 days) and compliance/data residency setup (2–3 days). This ensures secure and controlled rollout across teams.
Deliverables: Org activation, access controls, and compliance documentation.
Rovo is integrated with enterprise tools like Google Workspace, Microsoft 365, Slack, and GitHub to enable unified search. Optimization and analytics are configured to improve relevance and visibility.
Outcome: 60% higher successful search rate and approximately 30 minutes saved per user per day.
This phase introduces Rovo Chat and pre-built agents in a controlled environment. Teams validate performance with real users to ensure accuracy, usability, and workflow efficiency before scaling.
Outcome: Up to 70% faster answer discovery and validated, production-ready AI agents.
Enterprise knowledge structures in tools like Confluence are improved through better metadata, permissions, and cross-product automation. Natural language workflows and reusable automation libraries are introduced.
Outcome: 40–60% improvement in AI answer quality and 50% faster future automations.
Organizations scale adoption through role-based training, power-user certification, and governance frameworks to prevent agent sprawl. Continuous monthly reviews track adoption and performance.
Outcome: Maintains around 85% agent effectiveness with consistent ROI and adoption growth insights.
Continuously refine workflows and automations based on data and user feedback.
Empyra provides training, support and guidance to ensure you can keep using Jira Work Management effectively and grow with it.We support your Jira Work Management needs.
How Rovo Integrates with Jira & Confluence
Atlassian Rovo is deeply embedded within the Atlassian ecosystem, enabling seamless connectivity between work management and knowledge systems. It helps teams retrieve context-rich insights directly from Jira issues, Confluence pages, and connected third-party tools. This integration ensures users don’t just find information—they understand relationships across projects, documentation, and conversations.
Jira integration capabilities
Atlassian Rovo integrates with Jira to provide contextual issue search and smarter workflow navigation. It helps users quickly find tickets, understand dependencies, and track work progress without manual filtering.
Confluence knowledge search
Within Confluence, Rovo enables semantic search across documentation and delivers context-aware answers from multiple pages. This helps teams instantly surface relevant knowledge without needing exact keywords.
Cross-platform connectivity
Atlassian Rovo connects data across Jira, Confluence, and external tools like Slack and Google Drive to create a unified search experience. It allows users to discover related work, conversations, and files from a single interface.
Benefits of Atlassian Rovo For Enterprises
Atlassian Rovo helps enterprises accelerate decision-making, improve knowledge access, and reduce operational friction through AI-powered search and automation. It connects teams, tools, and data into a unified experience that improves efficiency across the organization. These capabilities translate into stronger collaboration and measurable productivity gains at scale.
Improved team productivity
Atlassian Rovo reduces time spent searching for information by surfacing relevant work instantly. Integrated with Jira, it helps teams quickly access issues, updates, and dependencies.
Faster knowledge access
Atlassian Rovo enables AI-driven search across platforms like Confluence to deliver precise, context-aware answers. This reduces time spent looking for documents and improves decision speed.
Smarter collaboration with AI
Atlassian Rovo connects conversations, tasks, and documents across tools to keep teams aligned. It recommends relevant context automatically, improving collaboration across departments.
Reduced repetitive work through automation
Atlassian Rovo automates repetitive search and information retrieval tasks. This allows teams to focus more on strategic work instead of manual coordination.
Better cross-tool visibility
Atlassian Rovo provides visibility across Jira, Confluence, and connected tools like Slack and Google Drive. It helps teams understand dependencies and context across multiple systems in one place.
Faster decision-making at scale
Atlassian Rovo supports faster enterprise decisions by delivering real-time insights from distributed data sources. Leaders can make informed choices without waiting for manual reports or updates.
Rovo Use Cases Across Teams and Enterprise Functions
Atlassian Rovo and its Rovo Agents help enterprises automate workflows, accelerate knowledge discovery, and improve decision-making across departments. By combining AI-driven search with intelligent agents, teams can resolve tasks faster and reduce dependency on manual coordination. This makes Rovo highly effective across IT, HR, engineering, and support functions.
IT & Operations use cases
Rovo Agents help IT and operations teams speed up incident resolution by quickly surfacing related Jira tickets, logs, and past fixes. This reduces downtime and improves operational efficiency through faster root-cause analysis.
HR & onboarding use cases
Rovo Agents assist HR teams by enabling instant onboarding knowledge search across policies, documents, and Confluence pages. New employees can get accurate answers without waiting for manual support.
Challenges Rovo Solves in Modern Enterprises
Atlassian Rovo is built to address some of the most persistent enterprise productivity challenges such as fragmented data, inefficient search, and disconnected workflows. By combining AI-powered search with Rovo Agents, it helps organizations reduce friction across tools and improve operational efficiency. The result is faster execution, better collaboration, and more informed decision-making across teams.
Data silos across tools
Atlassian Rovo helps eliminate data silos by connecting information across platforms like Jira and Confluence. Instead of scattered knowledge, teams get a unified view of work, documentation, and updates in one searchable experience.
Inefficient search systems
Traditional enterprise search tools often rely on keyword matching, which leads to incomplete or irrelevant results. Atlassian Rovo improves this by using AI-driven contextual understanding to deliver accurate and meaningful results. Users can quickly find issues, documents, and insights without manual filtering or repeated searches.
Manual workflows and delays
Rovo Agents reduce dependency on manual tasks such as searching, summarizing, and routing information. This helps teams eliminate delays caused by repetitive coordination and accelerates end-to-end workflow execution.
Context switching fatigue across tools
Employees often switch between multiple tools like Jira, Confluence, Slack, and Drive, which reduces productivity. Atlassian Rovo minimizes this fatigue by bringing cross-tool information into a single intelligent search experience. This allows users to stay focused without constantly changing platforms.
Lack of real-time insights for decision-making
Enterprises struggle with delayed updates and fragmented reporting across systems. Rovo Agents help surface real-time context from connected tools, enabling faster and more informed decision-making. This ensures leaders and teams always work with up-to-date information.
Slow onboarding and knowledge transfer
New employees often take time to understand systems, processes, and documentation scattered across platforms. Atlassian Rovo accelerates onboarding by enabling instant access to relevant knowledge across Jira and Confluence. This reduces ramp-up time and improves early productivity.
Struggling to Find the Right Information Across Jira, Confluence, and Other Tools?
With enterprise data scattered across multiple platforms, teams waste hours searching for context. Atlassian Rovo brings AI-powered unified search and contextual insights so your teams can instantly find what they need and act faster.
What Our Customers Have to Say
"Empyra has been extremely helpful in getting Cohen & Company’s Atlassian environments up and running. They have been able to provide great guidance in the options available and also have been able to execute on implementation of those options in a timely and effective manner. They have helped us bring in other departments outside of IT to utilize the service desk options to manage requests and workflows with great reviews from those teams."
Chief Technology Officer
Cohen and Company
"The Empyra consultant has allowed us to take the use of Atlassian's Jira product to new levels across the organization, providing significant improvements in workflows in IT as well as many Finance and Operations teams. There have been some complex requests that Empyra have dealt with, and all have been completed professionally, collaboratively, and efficiently. Empyra have always been super responsive, and are keen to work with the various OTC teams to solve their individual business needs."
Roger Abrahams, Senior Vice President - IT
OTC Industrial Technologies
"As our exclusive Atlassian partner, we brought Empyra in to plan, execute and manage our Atlassian migration to the cloud. From pre to post migration activities and support, Empyra was there to support our project team every step of the way. The migration went as smoothly as possible, and there was no major impact to our business operations."
Sr. Manager, Portfolio Management
"I was very pleased with the consistent can-do attitude the Empyra team brought to each meeting, they quickly came up with solutions, suggestions, recommendations on our various challenges and pitfalls during the migration. My team and I really appreciated that the Empyra team made themselves available 24/7 to troubleshoot with us or answered any questions raised in a timely manner."
Sr. Manager, Portfolio Management
"I'd like to extend a heartfelt thank you to the Empyra team for their exceptional support during our migration of Confluence and Jira from server to cloud including 14 managed apps. Their expertise and dedication were instrumental in navigating this complex transition smoothly. We truly couldn't have achieved this milestone without their guidance and hard work. Their efforts were a crucial factor in the success of our migration project, and we are deeply appreciative of their partnership. Thank you, Empyra, for being such a reliable and effective ally in our journey to the cloud!"
Gavi Ornelas-Morales, Tools Support, Supervisor
University of California Office of the President
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Frequently Asked Questions
Atlassian Rovo is generally available to organizations using Atlassian Cloud products. Access depends on your subscription plan and rollout availability. Admins can enable Rovo features for eligible users within their Atlassian environment.
No, Rovo does not require any AI knowledge or technical expertise. It is designed as a user-friendly, AI-powered solution that works in the background, helping teams search, summarize, and discover information naturally using everyday language.
Currently, Rovo is primarily built for Atlassian Cloud customers. Organizations using Data Center may not have direct access to Rovo features, as they rely on cloud-based AI and the Teamwork Graph architecture.
Rovo is built with enterprise-grade security standards. It respects existing Atlassian permissions, meaning users can only access data they are already authorized to see. Data is not exposed across unauthorized teams, ensuring controlled and secure AI-powered search.
You can learn more about Atlassian’s responsible technology approach through their official Trust, Security, and Responsible Technology documentation. It outlines how AI systems like Rovo are designed with transparency, privacy, and ethical usage in mind.
Rovo availability and pricing depend on your Atlassian Cloud plan and rollout stage. In many cases, it is included as part of select cloud subscriptions or offered as an add-on feature. For exact pricing, it is recommended to check with Atlassian or your solution partner.