Teams | Collaboration | Customer Service | Project Management

There’s a scene in Harry Potter that unintentionally explains modern employee retention better than most management frameworks. Dobby, the house-elf, is loyal to the point of self-destruction, bound to a household not by joy but by obligation. He shows up, does the work, absorbs the pressure, and flinches when he makes a mistake. And when Harry Potter finally gives him a sock, a symbolic act of recognition and autonomy, Dobby is free. Not just legally. Emotionally free.

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.

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.

Maria Christley is the Head of Design for the Atlassian Design System, leading over 35 designers globally across Design Language, Accessibility, Systems Architecture, and AI. She is a 2025 Women Leading Tech finalist and has spoken at Figma Config and UX Australia. Rachel Radford is a Design Manager on the Atlassian Design System team, where she leads designers working on the systems, components, and practices that power Atlassian’s products at scale.

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.

AI made every individual on your team faster. Now, it’s time for your whole team to move at that pace — and make sure you’re all heading in the same direction. At Canvas 26, we announced new ways to keep your tools, context, and team connected as you build the right things, faster and together. In case you missed it, you can watch the full Canvas 26 keynote on demand to see how teams can tap into collaborative AI to amplify their impact. TL;DW?

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.

Most people assume Telegram and Signal are basically the same — secure messaging apps that protect conversations and offer better privacy than traditional chat platforms. But the reality is more complicated. Telegram and Signal take very different approaches to privacy, encryption, and how user data is handled. One prioritizes private communication by default, while the other focuses on flexibility and broader messaging features.