Teams | Collaboration | Customer Service | Project Management

How customers are using Confluence Agents to turn knowledge into action

Since we first launched custom agents in May of 2024, we’ve seen teams use Rovo to build agents in Confluence that help them accomplish everything from turning customer feedback into PRDs to maintaining consistency across large sets of data and processes. And agents are getting even more popular, with over 5M invocations of agents every month. They take the foundation of knowledge that lives in Confluence, and act on it, saving customers over 200K hours in February alone.

I Let an AI Audit My Product. It Found 33 Bugs.

33 design bugs. One AI prompt. Zero user tests. In this video, Mathias Davidsen: GM of Prototypes at Miro, walks through three AI workflows changing how products get built, validated, and shipped. Whether you're a product manager, designer, or engineer, this is how AI is starting to replace weeks of prototyping work in a single afternoon, without breaking your design system or losing user context. What's the worst usability bug an AI has caught in something you shipped? Drop it in the comments, we read every one.

How AI can improve project profitability and team efficiency

Every agency owner or operations leader I've talked to has the same complaint. They know AI could help their business, but they can't connect the hype to their P&L. The conversation is always about "efficiency" and "productivity" in abstract terms, never about the number that actually matters: profit per project. This guide bridges that gap.

Highlights: Where does your chain break? Strategy that lives in boardrooms and PowerPoints

Stop losing millions to disconnected work. Learn how to build a unified system of work using the Atlassian stack to align engineering execution with executive strategy. When engineering teams lack a unified system, they often chase the wrong priorities or duplicate efforts, leading to execution drift and lower morale. In this session, Natalia Baryshnikova (Atlassian) and Vince Butera (Anaplan) share how to move beyond a collection of tools to create a single, connected platform using Jira, Jira Align, Compass, Confluence, and Rovo.

How to Use Miro and Atlassian Claude Connectors to Automate Jira Tasks

In this tutorial, I show you how to leverage Claude connectors, which use MCP (Model context protocol) to instantly turn Miro action items into Jira tasks. This helps you eliminate manual data entry and focus on prioritization and strategy. By connecting Claude to the Miro Connector and the Atlassian Rovo Connector, you can automate sprint planning and retrospectives with a single AI prompt. Key Topics Covered.

10 AI prompts to ask Teamwork.com every monday morning

For COOs, CFOs, and Heads of Delivery, the start of the week is often a race to find the truth hidden in a dozen different reports. By connecting Teamwork.com to your LLM (Claude, ChatGPT) via our new Model Context Protocol (MCP) server, you can query your business health in plain English. This isn't just about speed: it's about gaining a level of operational visibility that was previously impossible without a dedicated finance team.

Rovo makes AI-native teamwork real for the enterprise

Teams of all stripes have run billions of cross‑functional, multi‑tool workflows on Atlassian. After decades spent helping them plan, build, ship, and do, those same workflows are now lighting up with millions of agentic automations, up 7x in the last six months alone. All signals point to the rise of the AI‑native organization, where humans operate at critical junctures, deciding what matters and why, and agents do more of the execution.

Building for AInative engineering: What's new in DX

AI is changing how engineering teams work faster than most organizations can adapt. Coding assistants are now part of the daily workflow, agents are starting to own tasks end-to-end, and the way we deliver software is being redefined in real time. With that shift, engineering leaders are facing a new set of questions. Are these tools actually improving outcomes? Where are they falling short? Which teams are seeing value, and which aren’t?