Teams | Collaboration | Customer Service | Project Management

Subtasks are one of the most useful parts of Asana. They let you break a big task into smaller steps, assign pieces of work to different people, and track progress without losing sight of the bigger picture. But working with subtasks used to take a few extra steps. You'd leave your project view, open a task pane, and work from there. If you wanted to turn an existing task into a subtask, you had to open a menu, search for the parent task by name, and click through a few more steps to confirm.

At Atlassian, on-call engineers live at the intersection of urgency and uncertainty. Floods of noisy alerts sap focus, energy, and productivity — especially when responders must decide what matters, what can wait, and what’s just noise. A single underlying issue can trigger dozens of near‑identical alerts in hours.

Freshworks’ May launch delivers the innovations and the playbook to deliver AI-powered service transformation.

Stephanie Bui, content marketing strategy lead at Asana, used to think about her role in straightforward terms: managing content calendars, overseeing assets, and running a team. That framing worked when each idea lived in one or two places, like a gated asset or a blog post. The work started with one strong idea and ended when it shipped. AI changed all of that. A single idea ending at one asset was no longer enough. "AI raised expectations," says Steph.

Every project manager I've worked with has hit the same wall. You're juggling three client projects, a fourth lands on your desk, and suddenly the whole team is underwater. Nobody said yes to the overload. It just crept in. And by the time you notice, someone's already missed a deadline or quietly started working evenings. That's what task overload does to professional services teams. It doesn't announce itself.

Remote work has completely changed how modern AI companies operate. Today, many AI startups and tech businesses manage distributed teams across different cities and countries while maintaining high productivity and steady growth. Remote employees often work more efficiently, enjoy better flexibility, and help businesses reduce office-related costs. However, running a remote AI company is not always simple.

Knowledge-centred service is a methodology where knowledge is continuously created and updated as part of resolving customer interactions. This knowledge management process improves customer service and organizational productivity.

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.

Keyboard and mouse activity tracking shows whether an employee is interacting with their computer. It does not automatically show whether the employee is doing meaningful or productive work.

‍For organisations operating under GDPR, NIS2, or national security frameworks, the self-hosted vs SaaS communication platforms differences come down to one question: who controls the infrastructure your sensitive data lives on?