Teams | Collaboration | Customer Service | Project Management

Agents are in Confluence (and wherever you need them to be)

@mention an agent on any page and it creates, edits, and comments alongside your team. Through the Atlassian Rovo MCP, the same agents work from Claude, Cursor, or your IDE. Agents have been working in Confluence since we launched custom agents in May 2024, and teams now run more than 5 million agent invocations a month. In February alone, Agents saved Atlassian customers more than 200,000 hours.

Why better tickets help agents write better code

A reflection on building an enterprise product using AI agents, and what the data says about how we worked. The observation For the past few months we have been rapidly building an enterprise-wide, production-grade application that helps with employee compensation planning, management and communication. I compared what we built against a traditionally-built product to draw out insights about our new ways of working.

Rovo Search: Why Rovo is a Leading Enterprise AI Search Tool

TLDR: Key updates: Rovo Search now provides AI-generated answers with citations, routes intent-aware queries in Jira, searches across 50+ connected tools, delivers richer visual results, and is embedded directly in Atlassian workflows. This blog summarizes improvements that have shipped over the past year to Rovo Search. Rovo Search keeps getting better over time! It is now approximately 60% faster than six months ago!

Everyone agrees on the priorities. Almost no one can see the money and the work behind them.

Your transformation strategy is only as strong as its alignment with team execution and financial investment. Now you can see portfolio health in real time, intervene before initiatives drift, and tie every request and dollar to the priorities that matter. The latest Strategy Collection innovations bring financial investment, delivery risk, and cross-team demand into one view. The best part? Every capability covered has shipped since our previous Innovation Spotlight.

Automations in Jira with Cursor | Atlassian

What if every incoming issue could trigger Cursor Agent automatically? With agent automations in Jira, you set a condition, like a specific summary prefix for security issues or improvement requests, and when a matching ticket lands, your chosen coding agent (Jira Coding Agent, Claude, or Cursor) picks it up and gets to work. No manual triage, no delay. Set it once, and your agents do the rest. Watch to see how to wire up agent automations in Jira step by step.

Turn knowledge in Google Drive and Microsoft SharePoint into connected context

Bring document knowledge you already have access to from Google Drive, SharePoint, and OneDrive into Rovo Search, Chat, and Agents so teams can move from questions to useful context faster. The project plan is in Google Drive. The financial model is in SharePoint. The work is tracked in Jira, and the decisions are documented in Confluence. Your team has the information it needs.

From prompts to orchestration: Scale AI coding agent impact with Jira Automation

Connect any coding agent to your system of record to automate engineering loops AI coding agents have made individual developers faster. But faster individuals working in their local environments do not automatically create faster engineering organizations. The bottlenecks that slow software delivery are usually systemic: work stalls in human queues, triage waits for idle cycles, and routine handoffs depend on manual intervention.

Shattering the service quo starts with context

AI is changing expectations for service. Employees want help that feels seamless. Customers want answers without long waits or repeated explanations. Operations teams want to get ahead of incidents and prevent disruptions rather than just respond. Those expectations rest on a critical dependency: context. AI is only useful when it can see the full picture – from people and knowledge to services, assets, and code – and all connections in between.

Cutting Through the AI Hype | Teamwork Reinvention with Accenture and Atlassian | Atlassian

What is AI really doing for the enterprise — and what's just hype? At the SAFe Summit 2026 in Amsterdam, Renaud Granier (Accenture), Zach Brown (Atlassian), and Saahil Panikar (Atlas Revolutions) sit down for an unfiltered conversation about the state of AI in business today. From the difference between prediction and reasoning, to the growing problem of AI sprawl, to why change management might matter more than the technology itself — this is a must-watch for anyone trying to make sense of AI in their organization.