Teams | Collaboration | Customer Service | Project Management

AI use is accelerating across the modern enterprise. Teams are moving faster. The barrier to building will continue to drop. But the cost of building the wrong thing is about to skyrocket, because teams can now ship more of it, faster. Atlassian’s State of Teams 2026 report found that 89% of executives say AI has increased the speed of work. But only 6% feel confident they can point to specific organisation-wide AI ROI.

Today’s workplace is currently defined by a paradox of progress. We are deploying the most sophisticated productivity tools in human history, yet the people expected to lead this transformation are more disconnected than ever. Organizations are pouring billions into AI, but they are often neglecting the most critical node in the system: the manager.

Simpplr has spent years building AI into the intranet. Search, smart answers, and content creation are among the many ways AI is woven into how employees work inside the platform. Now, we’re giving IT the governance layer to match.

I sat down with engineers who use AI coding agents for the vast majority of their implementation work. Stack Overflow’s 2025 Developer Survey found 84% of developers using AI agents for software development are using them for actual implementation work, so I wanted to understand what that looks like up close. What I heard reshaped how I think about where developer tools need to go next.

As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale. Key takeaways: Watch the full Founder Keynote here.