Teams | Collaboration | Customer Service | Project Management

Over the last two decades, millions of teams have run their work on Atlassian, writing code, shipping products, and supporting customers across billions of workflows. Our platform is also where they make the hard calls, prioritizing which features to build, deciding which customer problems to chase, and choosing where to invest their resources.

When we delivered Atlassian MCP a little under a year ago, the idea was simple: let the AI tools your teams already use – Claude, ChatGPT, Cursor – reach the work that lives in Atlassian. The response was immediate. Now, we’re seeing more than 15M calls a day as it’s become the first thing teams reach for when they want to connect AI to their work. But teams have made it clear they want more. More products, more context, and more of the whole job done.

California overtime runs on the workday, not just the workweek. Cross eight hours in a single day and overtime is owed even if the week never reaches 40. Cross twelve and double time begins. California is the only state with a statutory double-time rule. Most guides stop once the rates are explained. That is the wrong place to stop, because in California the underpayment is rarely the expensive part.

Your timesheet says the week is full. What it does not say is what happened inside those hours. That gap is where most work visibility problems begin. A logged hour confirms that someone recorded time. It does not confirm what they worked on or what came out of it. More IT services and outsourced delivery firms now want to close that gap. They want to know where working time goes and how it connects to real output. The problem is simple to describe and hard to solve.

Every company, whether it has five people or five hundred, develops its own communication maze. Nobody plans it. It grows one reasonable decision at a time: a chat tool here, an email thread there, a spreadsheet someone started “just for now,” a shared drive no one fully trusts. Each piece makes sense alone. Together they form corridors that keep leading back to the same question: where is that decision, and who owns it? None of this looks dramatic on any single day.

Most handbooks already have a phone rule in them. Walk any floor at two in the afternoon and you will see how much it is worth. Phones are face down beside keyboards, in laps, propped behind monitors, checked during the gap between one call ending and the next connecting. The rule is not being defied. It is being ignored, which is a different and more awkward problem.

See where operating cost actually leaks across IT, personnel and property before committing budget to a bank-wide transformation program.

Does where employees work really affect productivity? We take a look at employee productivity statistics for remote, hybrid, and in-office teams.

Learn what hyperautomation means, the technologies it combines, and the process visibility it assumes before any of it can be sequenced properly.

User activity monitoring, or UAM, is software that records what people do on company devices, applications and networks. That definition is accurate and it hides the thing that matters. Two distinct product categories are sold under this name. One exists to detect insider risk: it watches data movement, records sessions, and produces forensic evidence. The other exists to show how working time is spent: it records application and website usage and activity levels, and produces reports.