Teams | Collaboration | Customer Service | Project Management

Data sovereignty is the principle that data is subject to the laws and regulations of the country in which it is collected, stored, or processed meaning a government has legal authority over any data that exists within its borders, regardless of where the organization that owns the data is headquartered.

How Rippling and Xero AU payroll integrations eliminate the manual work from every pay cycle.

In June 2026, our community published 194 new templates to Miroverse. Creators leaned into big moments and everyday workflows alike — from World Cup-themed sweepstakes and retros to AI adoption playbooks, workshop briefing tools, and agile health checks. Miro Flows showed up throughout the month, powering everything from workshop briefing summarization to career-in-innovation workshops. Below, you’ll find the top templates and creators from June 2026 — plus an AI workflow spotlight.

In today’s digital workplace, employees connect USB drives, external hard disks, Bluetooth headsets, and other removable peripherals to their workstations multiple times a day. This kind of convenience keeps work moving. But it also opens a door that many organizations never think to lock. A single unchecked connection can turn a routine task into a serious security incident. Most IT teams only realize the gap exists after something has already gone wrong.

Time Tracking sounds simple: But in reality, every IT service team tracks time differently based on how their teams work. A small agency tracks time differently from a large enterprise. A field team works differently from a remote software team. But every business is trying to answer the same question: Where does the time go? And how does it affect productivity, delivery & profits?

Ask most IT and HR leaders why IT and HR need different AI tools than Copilot, and the answer comes down to how a request actually ends. IT requests resolve in an action. HR requests resolve in a lookup or a handoff. Copilot, built as a single AI layer inside Microsoft 365, treats both as the same kind of task — a question to answer — and that's where it starts to fall short for support teams specifically.

When output drops, most managers reach for the wrong tool: assumption. "People aren't focused." "They're doing too much at home." "This person is slacking." These guesses feel like answers, but they're really just hunches dressed up as diagnosis - and acting on the wrong one makes things worse. You crack down on a team that's actually drowning in process, or you add headcount to a team whose real problem is a broken handoff.

Before I joined Teamwork.com, I directed client accounts at agencies, and the most uncomfortable meeting of every month was the profitability review. We'd pull time out of one tool, costs out of another, and rates out of a spreadsheet someone updated when they remembered to. By the time the numbers lined up, the project was already over, and so was any chance to fix it. That's the real problem with most "profitability tracking." It tells you what happened after you can't do anything about it.

There's a Reddit thread that's currently ranking for this exact topic, and the whole premise is that project profitability is "basically a guess." I get why people feel that way. But forecasting profit before you start isn't fortune-telling, it's a repeatable calculation you can run on any project in about an hour. This guide walks through the five-step method I used in my agency days to predict a project's margin before a single hour is logged.