Rovo is Atlassian’s powerful AI assistant, purpose-built to elevate productivity and simplify team workflows across the Atlassian ecosystem. Designed to offer actionable insights and streamline collaboration, Rovo leverages advanced AI models and Atlassian’s proprietary Teamwork graph to provide intelligent, context-aware support tailored to your tools. Whether you’re comparing Rovo to Atlassian Intelligence, looking into customization options, or exploring security measures, our top 15 FAQs cover everything you need to know to decide if Rovo is the right fit for your team.
Ready to learn more? Let’s dive into the details!
What is Rovo, and how is it different from Atlassian Intelligence?
When it comes to enhancing productivity, Rovo and Atlassian Intelligence offer distinct AI-driven solutions tailored to different organizational needs. Rovo is built for complex, cross-functional workflows, offering advanced automation, centralized knowledge access, and tools like Rovo Agent, Rovo Chat, and Rovo Search. This makes it ideal for organizations seeking to unify data, workflows, and communication across multiple departments and systems.
In contrast, Atlassian Intelligence focuses on streamlining productivity within individual tools like Jira and Confluence. With features like AI-generated summaries, editing tools, and natural language search, Atlassian Intelligence empowers users to quickly understand, refine, and locate content within each specific tool.
Check out our full blog post to dive deeper into how these two AI solutions differ and which might best suit your needs.
How does Rovo compare with Atlassian Intelligence or external AI services like Glean?
Rovo is powered by Atlassian Intelligence, leveraging a mix of both Atlassian’s proprietary Teamwork graph and third-party large language models (LLMs) from OpenAI, Anthropic, and others. This combination allows Rovo to deliver refined results tuned for Atlassian environments, unlike general-purpose AI solutions.
Rovo also focuses on providing actionable insights and knowledge-sharing specifically optimized for Atlassian’s tools. In contrast, Glean focuses on enterprise search and knowledge retrieval, helping teams quickly find information across platforms like Google Workspace and Microsoft 365. Read more information about Atlassian Rovo vs. Glean.
What connectors are available, and are there plans to add more?
Rovo connectors enable seamless integration with third-party products outside the Atlassian ecosystem, enhancing the functionality of Rovo Agents, Search, and Chat. With its AI-powered search engine, Rovo delivers exceptional knowledge retrieval, empowering employees to access critical information both within Atlassian and beyond. Rovo Connectors link the platform to tools like Slack, MS Teams, GitHub, Figma, Google Drive, and custom applications, making information readily accessible across diverse platforms. This context-aware search provides powerful insights across connected systems, with over 40 connectors expected by 2025.
Did Atlassian build Rovo from scratch, or is it based on another AI platform?
Atlassian developed Rovo using its Teamwork graph, harnessing years of data and experience to refine its performance. To optimize responses, Rovo dynamically integrates multiple LLMs based on the context, using both in-house and third-party models like LlaMa3 and OpenAI.
Is there an API for customizing Rovo for specific workflows?
Not yet, but an API for Rovo is being explored as part of our future roadmap. In the meantime, developers can use the Forge platform to build custom agents and workflows within Atlassian’s ecosystem.
Will Rovo be available for all types of Atlassian plans, or only for premium tiers?
Rovo is available as a standalone product, separate from other Atlassian subscriptions. It is not currently part of any premium or enterprise subscription and is priced individually.
Is there a trial period for Rovo, and how long does it last?
Yes, new users can try Rovo for free for 30 days. This trial offers full access to Rovo’s features, allowing you to see how it can transform your team’s workflow.
How is data security handled for connectors, especially with classified information?
Rovo respects data permissions set by your organization’s admin. Each connector adheres to data security protocols, so only users with appropriate permissions can access sensitive data, even in classified environments.
Can users select specific information sources for Rovo to reference?
Absolutely. When building agents, users can choose specific knowledge sources, and Rovo Search also allows filtering by source, giving you full control over what information is accessible.
Is there a way to provide feedback directly within Rovo to improve the experience?
Yes, Rovo allows you to rate responses with thumbs up or thumbs down, helping us continuously improve its relevance and accuracy based on your feedback.
What specific tasks can Rovo agents handle, and what are some example use cases?
Rovo supports three main pillars: Find (through Rovo Search), Learn (with Chat and Knowledge Cards), and Act (via Agents). Rovo agents can automate workflows, provide insights, and enhance productivity across diverse applications. You can find examples of Rovo in action in our demo video.
Will Rovo be available to end customers, or is it only accessible to Atlassian Partners?
Rovo is currently available to both end customers and Atlassian Partners. For those interested in a hands-on experience, partners can access Rovo directly to gain familiarity and improve their ability to assist clients.
Will Rovo’s capabilities work for Data Center environments?
Atlassian is launching a Data Center connector for customers using its Data Center products. This will enable access to Rovo Search for those who are unable to utilize Atlassian’s cloud offering. The feature will initially support Confluence starting in early 2025, with Jira to be added shortly thereafter.
How does Rovo determine the relevance of different sources and manage large datasets?
Rovo uses advanced algorithms and Atlassian’s Teamwork graph to rank search results by relevance, ensuring that users see the most applicable content first. These mechanisms are especially helpful in large organizations where older information can clutter search results, keeping Rovo’s responses focused on the latest and most pertinent data.
Can Rovo help identify and prioritize relevant content over outdated or irrelevant information?
Yes, relevance is a core feature in Rovo Search. Rovo’s algorithms prioritize the most relevant information based on the user’s query, reducing the impact of outdated or irrelevant data in large databases.
Do you have more questions?
As you continue to explore Rovo AI, we hope you find new ways to harness its capabilities to enhance your team’s productivity, streamline workflows, and make collaboration effortless. Rovo is here to empower your team with the right information at the right time, transforming the way you work together. Get help deciding if Rovo is right for your team by getting in touch with us at Seibert Solutions US today.