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Modern organizations rely on dashboards to track performance, but numbers alone rarely reveal the full picture. AI-Enhanced Reporting transforms raw data into clear, actionable insights — directly inside the tools you already use. With integrated analytics, automation, and AI interpretation, your teams can understand trends faster, uncover root causes, predict what’s coming next, and make confident decisions without manual analysis.
Consolidate the data from all your tools and apps into a single analytical layer.
Let AI highlight anomalies, explain patterns, and summarize key metrics in plain language.
Move from raw dashboards to executive-ready recommendations.
Apply the same AI layer to ITSM, project portfolios, HR, or finance data.
Gain instant, actionable interpretations with AI-powered reporting for Jira, Confluence, eazyBI, and Tempo Structure. Understand trends, spot issues, and make smarter decisions in real time.
Reports don’t have to stay technical. AI translates dashboards into executive-ready narratives, making it easier to share insights with leadership and non-technical stakeholders. From detailed drill-downs to one-paragraph summaries, everyone gets the clarity they need.
AI-Enhanced Reporting brings together Atlassian apps, analytics tools, and modern AI technologies. Supported tools include:
AI-enhanced reporting provides value at multiple levels of analysis. At its core, it follows the four established analytics scenarios that guide organizations from simply understanding what happened to knowing what to do next.
Automated summaries of dashboards (e.g. “Resolution times improved by 12% last quarter”)
Forecast future outcomes (e.g. “At current backlog growth, delivery timelines will slip by 2 weeks”).
Recommend specific actions (e.g. “Reallocate resources from Project A to reduce delay risk”).

Spot outliers in real time (e.g. sudden surge in tickets, drop in throughput).
Continuous recalibration of predictions when new data arrives.
Map raw metrics against strategic objectives, flagging risks to goals.
Interpret qualitative data (support comments, Confluence feedback) alongside metrics.
Combine multiple data sources to surface hidden relationships (e.g., linking IT incidents to revenue impact).
Part of Atlassian’s Intelligence ecosystem, Rovo AI provides agents designed specifically for reporting:
Rovo agent for reporting – Summaries, drill-downs, and narrative interpretations for Jira data
Rovo prompt library – Templates for performance, flow, risks, and planning
Cross-space intelligence – Combine Confluence knowledge with Jira metrics

We combine Atlassian expertise, AI integration experience, and reporting knowledge to deliver tailored solutions.
Identifying the right AI use cases for your teams
Implementing integrations with eazyBI, Tempo Structure, BI tools, and Atlassian Intelligence
Supporting adoption of AI-enhanced reporting
Scaling reporting capabilities across the enterprise
Use "catworkx Reports for Jira" to generate custom gadgets based on JQL, Calculated or Scripted Fields directly in Jira. Our app uses custom fields including scripts as well as JQL-based filters. The results can be visualized in Jira dashboards.
As an Atlassian Enterprise Platinum Solution Partner, we know the Atlassian tools extremely well. Therefore, we can configure your reporting systems quickly and efficiently. As an official partner of eazyBi, we have extensive experience in training and configuration of eazyBI.
Measurability, reporting and controlling should play an important role when designing new processes in your company. This is the only way to determine whether your initiatives are successful. Our senior consultants help you to make internal processes in your company measurable.
AI-Enhanced Reporting is part of a broader intelligent work management ecosystem.
Every organization’s data landscape is unique. Whether you need anomaly detection in ITSM, predictive analytics for delivery teams, or AI assistants for portfolio reporting, catworkx can help you choose the right approach.