Imagine you're working on an important project. The client is waiting for your presentation, but you can't find the latest version. Was it in Confluence? In Drive? You spend hours every day doing the same repetitive task, but you know "I can automate that"! That's exactly where Rovo comes in. What is Altassian Rovo and what else can I do with it?
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404 Not Found - When information is not found
A recent Gartner study shows: Almost every second employee regularly fails to find important information for their work. The reason is obvious: large companies use an average of over 230 different apps. Each one a potential hiding place for business-critical information.
It becomes particularly frustrating when teams work together across different locations. A development team in Berlin solves a complex technical problem, while a team in Munich works for weeks on the same challenge - without knowing about the existing solution.
The effects
This inefficiency has a massive impact on the company's success. The average employee spends around 20% of their working time searching for information. In a 100-person company, this corresponds to ten full-time positions that are exclusively occupied with retrieving existing knowledge. With an average salary of €40,000, this means that 800.000€ per year are wasted just searching for information.
Even more critical: innovation potential remains unused. If teams cannot learn from each other, the same mistakes are repeated and proven solutions are not reused. At a time when agility and rapid adaptation are crucial, no company can afford this.
Atlassian Rovo: The knowledge management revolution
This is exactly where Atlassian Rovo comes in. Unlike traditional search functions, Rovo understands the context of your work and uses artificial intelligence to make connections between information.
What is Atlassian Rovo?
Atlassian Rovo is the latest innovation in the field of AI-supported enterprise tools. At its core, Rovo is an intelligent knowledge management system that pushes the boundaries of traditional enterprise search solutions. The platform uses advanced artificial intelligence to tap into corporate knowledge from a wide variety of sources, link it and make it actionable. Unlike traditional search engines, AI understands the business context and the relationships between information, teams and projects.
The system is based on the "Teamwork Graph" developed by Atlassian - an innovative technology that has emerged from over 20 years of experience in team collaboration. Rovo integrates seamlessly into the existing Atlassian environment and connects with common enterprise tools such as Microsoft 365, Google Workspace and many other systems. Particularly noteworthy are the AI agents that proactively take on tasks as virtual team members and optimize collaboration.
What Rovo can do: The three pillars of Rovo in detail
Intelligent knowledge networking
The AI not only searches your Atlassian products, but also connects seamlessly with tools such as Google Drive, Microsoft SharePoint, GitHub and Slack. What is particularly interesting is that even industry-specific and self-developed applications can be connected via the API. For example, a pharmaceutical company can integrate its bioinformatics databases.
Context-related findings
The AI automatically creates "knowledge cards" - intelligent summaries of projects, goals or team members. These cards are continuously updated and learn from use. One example: If you search for a project term, Rovo not only shows relevant documents, but also the experts in the company, related projects and important milestones.
AI agents as virtual team members
The real innovation is the Rovo agents. These specialized AI assistants not only automate routine tasks, but also actively support complex processes:
Example: Content management agent - Automatically checks new content for consistency - Suggests improvements - Links related documents - Adheres to formatting guidelinesRovo agents: Your AI-supported team members
Rovo agents represent a quantum leap in the way teams work together. Unlike simple chatbots or rule-based automation, these AI agents are specialized virtual team members that act contextually and learn from interactions.
The different types of Rovo agents:
Content Management Agents
These specialists take care of the creation, maintenance and optimization of content:
- Create and revise documentation based on existing templates
- Automatically check the consistency of documents
- Suggest improvements for technical documentation
- Harmonize formatting across different documents
Practical example: The content agent detects that product documentation is out of date, analyzes the latest changes and automatically creates an updated draft for review.Workflow and process optimization agents
These agents improve and automate business processes:
- Analyze Jira backlogs and suggest priorities
- Identify bottlenecks in workflows
- Automate recurring task assignments
- Create intelligent summaries of sprint activities
Use case: The workflow agent recognizes patterns in overdue tasks and proactively suggests process improvements that lead to a 30% faster processing time.Onboarding and knowledge transfer agents
Specialists for the integration of new team members and knowledge transfer:
- Create personalized induction plans
- Answering common questions from new employees
- Collect and organize team knowledge
- Identify knowledge gaps and suggest training courses
How do I get started with Rovo?
Practical implementation in four steps:
- Strategic preparationAnalyze your information landscape first. Which systems are business-critical? Where are the biggest knowledge silos? A workshop with representatives from all departments helps to identify the most important use cases.
- Technical integrationRovo can be activated via the Atlassian Admin Panel. Third-party systems are integrated via preconfigured connectors or the open API. Important: All authorization structures are retained.
- Pilot phaseStart with a manageable pilot team. The first two weeks are crucial: collect feedback, optimize the configuration and document successful use cases.
- Company-wide introductionRoll out the AI step by step. Use the experience from the pilot phase for customized training. Establish best practices and a continuous improvement process.
Use cases: Rovo in use
The best way to understand the possibilities of AI is to look at specific use cases. Here are two detailed examples of how companies are already using Rovo successfully:
Intelligent document management in Confluence
Managing and updating Confluence pages can quickly become complex, especially when similar content is required for different departments or projects. We show you how to automatically duplicate and manage Confluence pages with Atlassian Rovo and Automations in our detailed guide:
- How to duplicate pages automatically
- Which automation rules you need to create for this
- How Rovo helps you summarize information from meetings and share it with your team
Click here for the use case: Automatically duplicate and manage Confluence pages with Rovo
Intelligent issue management in Jira
One of the most common problems in Jira is the correct categorization and assignment of issues. With Rovo, this process is automated and intelligently controlled. In our article Automatic categorization and assignment of issues with Atlassian Rovo in Jira you will learn:
- How AI automatically categorizes issues based on selected parameters
- How AI determines the optimal processor for each issue
- Field-proven workflow for efficient issue management
Click here for the use case: Automatic categorization and assignment of tickets with Rovo in Jira & JSM
Rovo in practice: cognitive relief for your teams
In our insightful video tutorial, we show you how Atlassian tools, and Atlassian AI in particular, can take the cognitive load off your teams:
What you can expect in the video:
- Cognitive relief in everyday working life: Learn how Atlassian tools can free your teams from mental overload and help them focus on the essentials.
- Increasing efficiency through automation and AI: Discover concrete examples of how Atlassian Rovo and automations increase the effectiveness of your teams:
- Reduction of routine tasks
- Intelligent information processing
- Automatic prioritization of tasks
- The pragmatic start: Learn how to start with a manageable use case and gradually create added value for your teams:
- Identifying the right starting point
- Measurement of initial success
- Scaling to other use cases
📌 Practical tipUse the insights from the video to identify a specific entry point in your team. Recurring, time-consuming tasks are often particularly suitable for the start.
Shaping the future of collaboration
Atlassian Rovo marks a turning point in enterprise search. It is not just a search tool, but an intelligent knowledge navigator that connects teams and breaks down silos. At a time when companies are increasingly working digitally and distributed, this is becoming a decisive competitive advantage.
