Teams | Collaboration | Customer Service | Project Management

As distributed and hybrid work become the default operating model in 2026, a new productivity dilemma is emerging for organizations: How can organizations measure remote employee productivity without setting up a system that causes exactly the opposite- a loss of focus, engagement and sustainable performance? Productivity monitoring tools have long relied on visible activity.

Most communication problems stay hidden while the right people are still around. A project manager knows where the final contract lives. A contractor remembers which client group is still active. Someone on the sales team knows why a supplier was moved to a different thread. None of it feels fragile, because the people carrying the context are still one message away.

The thing nobody says out loud during a tool migration is the real fear underneath it: what if we lose everything? Years of conversations, decisions buried in threads, the context that makes a team actually understand itself – gone in one messy export. And it’s not just a technical worry. If you’re the one making this call, you’re carrying more than a checklist.

Manual timesheets look free but aren’t. The real cost hides in employee entry time, manager follow-ups, payroll corrections, missed billable hours, delayed approvals, and poor workforce visibility, costs that grow as headcount scales. Online timesheets doesn’t just digitize the spreadsheet; it removes the manual work sitting around it, and wAnywhere automates that entire process end to end.

AI can sound confident about almost anything. The challenge is making sure it’s right. At Atlassian, Content Technologists are building the systems, standards, and structures that help AI deliver better outputs, removing the burden from our customers of knowing what information to trust.

How to document a process so it stays accurate, the L1 to L3 hierarchy, and why most process documentation is out of date within months of being written.

Most workforce decisions still run on instinct. Here՚s what changes when work data replaces assumptions across distributed teams.

Pick an animal. Now pick the strengths you bring to your work. Combine the two, and you’ve built yourself a superhero. That was the warm-up exercise H&M Group used to open an AI Learning Day for its tech teams, and it set the tone for everything that followed: you come to the table with your superpowers, and AI handles the mundane.

See where IT run cost leaks before you transform. Use real tool-usage data to shift the run-vs-change ratio and retire redundant licenses.

How Rocket.Chat and Virtru close the security gap in classified collaboration with attribute-based access control (ABAC). In a classified operation, the person who had access to a room when they joined it may not be the person who is authorized to be there right now. Clearances change. Program assignments change. People rotate on and off missions, on base and off base, sometimes overnight.