Teams | Collaboration | Customer Service | Project Management

How Rovo helps finance close the books faster | Atlassian

Managing financial systems at scale is complex. Multiple SaaS applications, ERP integrations, transaction flows, and month-end close activities must work seamlessly to ensure data integrity and reporting accuracy. In this video, Alex Auerbach, on the Finance AI and Enablement team at Atlassian, shares how they built Finance360, a Rovo agent that delivers real-time monitoring, proactive alerts, and intelligent troubleshooting across critical financial systems.

What 5M+ daily MCP tool calls taught us about the future of AI at work

Less than six months ago, the Atlassian Rovo Model Context Protocol (MCP) server went GA, giving Claude, Cursor, and every major AI agent direct access to Atlassian for our customers. Today, over one million users trust it every month to do real work through agents. But that number isn’t the story. The story is what’s happening inside those interactions: how AI agents are actually being used at enterprise scale, and who’s getting the most value.

Secure AI adoption with data loss prevention (DLP)

AI makes your organization’s knowledge easier to find and use. That’s the whole point. But it also means sensitive data moves faster, surfaces in more places, and becomes harder to track. The pressure to act is real, but the playbook isn’t new. You still need to know where sensitive data lives, govern how it’s being used, and prevent it from unauthorized exposure. AI is now giving you a reason to revisit your data security posture and make sure it’s strong enough to keep up.