Teams | Collaboration | Customer Service | Project Management

If your All Chats list has grown to the point where finding anything feels like work, you're not alone. A long, flat list of rooms and DMs doesn't scale — the important conversations get buried, the noise is always visible, and keeping on top of it all requires more effort than it should. Introducing sections!

There’s an old temptation buried in every workplace, and it rarely announces itself with a bang. It shows up as a supply closet that’s never inventoried, a spreadsheet quietly adjusted after everyone else has gone home, or a company card that slowly begins to feel less like a business expense and more like a personal allowance. Nobody wakes up one Monday and decides to become a thief. It happens one reasonable-sounding exception at a time.

Self-hosted messaging is a communication solution where an organization hosts and manages its own messaging server instead of relying on a third-party cloud provider. It gives complete control over messages, files, user data, and security, making it the preferred choice for enterprises, government agencies, defence organizations, and other regulated industries that require data sovereignty and compliance.

AI has made every individual faster. The harder question — one we spent the day discussing at Canvas 26 Sydney — is whether it’s made teams faster. Those aren’t the same thing, and confusing them is where a lot of organizations’ AI ambitions get stuck. Jacky Koh has watched it happen up close. As founder and co-CEO of Relevance AI, an AI workforce platform used by Canva, Databricks, and Uber among many others, he spends his days helping companies put agents to work.

Whether I speak to customers or Atlassian’s own engineering teams, the message is consistent: the unprecedented adoption of powerful coding agents has transformed software development, but the hard parts of delivering software are…gasp…still pretty hard. Teams still have to decide what to build, and why it should exist. They need to understand the system they’re changing and which constraints matter.

Defence-grade encryption is a level of cryptographic protection, typically built on standards like AES-256 and end-to-end encryption with strict key management, that meets the security requirements demanded by military, government, and other high-risk organizations. The problem is that "defence-grade" and "military-grade" have become marketing terms slapped onto products with little regard for what they actually mean.

I spent years managing client services teams before I joined Teamwork.com, and software implementation projects were always the ones that kept me up at night. A go-live date would slip, a consultant would get double-booked across two rollouts, and the billable hours nobody logged would quietly eat the margin. Most of that chaos came from running implementations across a spreadsheet, a time tracker, and a separate billing tool that never talked to each other.

Can workforce data actually help businesses grow? With work intelligence, organizations can transform everyday work data into actionable insights that improve productivity, workforce planning, and overall business performance. In this blog, you’ll explore how the workforce intelligence tool works and how it helps businesses turn work data into measurable outcomes. Let’s go!!

Monday morning shows up, your calendar's already full of meetings, and your to-do list is quickly turning into a novel. You know what needs doing, but what you don't have is fifteen free minutes to figure out when. That's the gap our AI Teammate, Scout, just stepped in to fill. Meet Plan my week, Scout's newest job and the fastest way to turn a pile of tasks into an actual, workable schedule.

To be clear from the outset: this guide is about reserving people and time for probable client work, not building oil and gas pipelines. If you plan projects for a living, "pipeline" means the deals moving toward a yes, and the work you'll have to staff the moment one lands. According to Teamwork.com's own product data, only 42% of expected work is mapped to a plan before it's confirmed, which leaves a lot of resourcing to guesswork.