Mike Cannon-Brookes
Management
Thanks, Billy. Great, great question. Look, I think there -- we're very early days. There's no doubt that the easy answer is extremely early days in terms of agentic adoption in enterprises. I would say that a lot of them are experimenting, a lot of them are trying to learn and trying to understand fundamentally what the technology can do. They are understandably cautious with enterprise knowledge. We get a lot of questions about Rovo's commissioning and structure and how it works, who can access what content, how it all sort of strings together architecturally. I will say customers are very happy with how thoughtful we've been on all of those areas. But it's natural that this is a new area of technology. But they see clearly the upsides, the possibilities, but they're trying to be very careful and cautious about deployment and also working out where it actually adds ROI to their business. And that's a lot of what we spend time with customers is helping them to understand that. There is certainly a gap, I would say, between the awareness of AI and the usage of AI at the moment. Part of where we're trying to make sure we get across that gap is certainly with the Rovo inclusion with the various offerings that allows them to try Rovo to connect data and to learn. And as we mentioned, we have various ways to deliver that value, but also for Atlassian to gain from that value in time from higher editions, but also consumption-based pricing and credits and various things like that. So it's an evolving area, I suppose, I would say. Where I would say customers are most excited is the breadth of agents that we supply and also the familiarity of those agents in their interaction. So what's very different about Rovo is the way that an agent interacts inside the software, as another colleague in your company would. That makes it much more familiar to the usage pattern than some of the other approaches to AI, which has gotten pretty great reactions from customers. And the ability to iterate, as I said, between humans and agents and back-and-forth and obviously multiple times two, three, four loops to get a task done, that also resonates really strongly with our approach. It feels more like adding extra people to your team, as we would phrase it, than it does someone sort of replacing what you're doing, which creates huge positivity in our customer base. Generally, super early in our journey here, but huge level of customer excitement and our goal is to get that into as many hands as possible. I think we're making pretty good traction. As we said, we've gone from 1 million AI now to over 1.5 million AI now in a quarter and we'll continue to see that number rise. I think it's growing really strongly.