Every day, teams burn hours digging through tools or pinging co-workers to track down the information they need to do their jobs. In fact, knowledge workers waste up to 25% of their time looking for answers, according to Atlassian’s 2025 State of Teams report.
Rovo Search, Atlassian’s AI-powered search feature, changes the equation by helping employees find what they need, instantly. It connects tools like Jira, Confluence, Bitbucket, Compass, Google Drive, and SharePoint into a single, unified interface. At its center is the Teamwork Graph, a dynamic knowledge layer that understands how your people, projects, goals, and tools are connected.
Unlike basic enterprise search that returns keyword matches, Rovo interprets intent, respects permissions, and connects related information across your tools. This includes AI-driven results synthesis that prioritizes the most relevant information and suggests next steps.
For example, if you search for “payment service outage,” instead of links to scattered docs, you’ll get:
- Summarized findings from recent incidents in Jira
- Troubleshooting steps from Confluence runbooks
- Related commits from Bitbucket
- Google Drive and SharePoint documents outlining past resolutions
- Slack discussions where the issue was debugged
For more complex queries like, “Why did we move to microservices for user management?” Rovo can reconstruct the full decision trail by connecting architectural notes, performance benchmarks, team conversations, and historical requirements.
This is intelligent knowledge orchestration in action: Rovo Search helps teams quickly understand data, act on it with confidence, and scale decisions across the business. In this post, we’ll show how Rovo Search turns fragmented data into faster decisions and coordinated execution.
The Problems With Traditional Search (and How Rovo Search Solves Them)
Traditional search relies primarily on scanning content for keywords. This results in a flood of semi-relevant hits that force teams to piece together an answer. It often forces teams to sift through irrelevant results, slowing decisions and increasing rework.
What Makes Rovo Search Different
If traditional search is like navigating a dark maze by the light of a birthday candle, Rovo Search is like switching on a spotlight that instantly reveals the quickest path to success.
Rovo Search goes beyond simple keyword matching by leveraging Atlassian’s Teamwork Graph, a rich knowledge layer that maps relationships between people, projects, and tools across your organization. This allows Rovo to understand context, not just text, and deliver insights that reflect how your teams actually work. And because Rovo lives inside the tools your employees already use, it feels like a natural extension of their workflows, not an added step
Here’s an Example:
| Traditional Search | Rovo Search |
| A user types “employee onboarding” into Confluence to get a long list of pages containing those exact words. They would also have to repeat the search across every other tool they want to query. | A user types “employee onboarding” into Rovo Search, which automatically understands the context to surface the most relevant resources (including training guides, HR checklists, and other materials that don’t explicitly have the “employee onboarding” keyword) and summarizes them for fast comprehension. |
Rovo Search actively suggests follow-up prompts to dive deeper on a topic (Source)
How Teams are Using Rovo Search Today
Rovo Search tackles the challenges that leave nearly half of all digital workers struggling to find the information needed to do their jobs effectively.
Here are some practical ways you can quickly implement Rovo Search for immediate impact:
Here’s What Users Have to Say About Rovo Search:
“Rovo Search is helping our teams find information much faster, reduce cognitive load, and stay in the flow. It’s really promising so far. I don’t foresee a future where we don’t have it.” – Ronny Katzenberger, Director of Engineering Enablement at Procore Technologies
“We constantly see new opportunities to optimize our work with Rovo. For example, we have the potential to kickstart our requirements and design in minutes with Rovo, turning the overall discovery process into days, not months!” – Fred Frenzel, Project Management Office Director at HarperCollins
Best Practices for Getting the Most Out of Rovo Search
Like many sophisticated AI tools, Rovo Search’s value depends on the quality of the data you feed it and how your teams engage. Here are some tips for keeping Rovo Search sharp, relevant, and secure:
- Keep your data clean: Regularly update, consolidate, and remove outdated content across Atlassian and third-party systems.
- Train teams to ask better questions: Encourage intent-driven queries like “What were the key decisions from last quarter’s strategy meeting?” instead of vague keywords.
- Create a feedback loop: Monitor usage, gather feedback, and refine content and settings over time.
- Stay secure and compliant: Rovo respects your business’s permissions and supports audit trails and data residency, so review policies regularly to maintain control.
Taking Rovo Search to the Next Level
Getting started with Rovo Search is straightforward, but realizing its full impact requires strategic thinking about knowledge architecture and workflows. That takes a clear plan and thoughtful integration into how your teams actually work. Successful, forward-looking implementations typically focus on:
- Pinpointing high-impact use cases where Rovo Search can provide the most value.
- Cleaning up and structuring data sources to ensure Rovo Search has the right foundation for success.
- Extending Rovo Search beyond Atlassian by connecting your full tech stack, including third-party apps, to unify knowledge discovery across internal systems and external tools.
- Customizing Rovo Search to your needs with tailored configurations, purpose-built connectors, and custom solutions built on Forge or other platforms.
- Maintain trust and control by setting up secure access, auditability, and compliance in accordance with internal data policies and regulatory standards.
The organizations seeing transformational results from AI are putting in the effort to rewire how knowledge moves throughout the business. As an Atlassian Platinum Solution Partner with 15+ years of experience and a deep heritage in enterprise transformation, Cprime helps organizations go beyond basic Rovo deployment to drive real and lasting change. We bring proven expertise in establishing Atlassian Cloud as a strategic foundation for AI transformation, delivering solutions that help teams unlock efficiency, agility, and measurable business impact.
