Teams | Collaboration | Customer Service | Project Management

Connect any coding agent to your system of record to automate engineering loops AI coding agents have made individual developers faster. But faster individuals working in their local environments do not automatically create faster engineering organizations. The bottlenecks that slow software delivery are usually systemic: work stalls in human queues, triage waits for idle cycles, and routine handoffs depend on manual intervention.

AI is changing expectations for service. Employees want help that feels seamless. Customers want answers without long waits or repeated explanations. Operations teams want to get ahead of incidents and prevent disruptions rather than just respond. Those expectations rest on a critical dependency: context. AI is only useful when it can see the full picture – from people and knowledge to services, assets, and code – and all connections in between.

Your business looks healthy. Your numbers say otherwise. Every project is staffed. Every team is working. Timesheets are filled out, standups are happening, and clients are (mostly) happy. And yet, at the end of the quarter, the numbers don’t add up the way they should: If this sounds familiar, the issue isn’t effort. It’s visibility. You can’t fix what you can’t see, and most businesses can’t see where their productivity is actually going.

If you’re buying software for an Australian government agency, you already know the drill: before any tool touches sensitive data, it has to prove itself against the Australian Government’s security bar. Miro has now cleared that bar. We’ve completed an assessment under the Information Security Registered Assessors Program (IRAP), giving your team independent, third-party confirmation that our platform holds up under the same standards used to evaluate systems handling government data.

See how cloud based time and attendance software works, compare cloud vs. on-premise deployment, and use this framework to choose the right platform.

Love Tomorrow isn’t your average enterprise summit. There’s no business casual, no anonymous venue. Just thousands of people gathered on the site of Europe’s largest EDM festival under the bold banner “Live today. Love tomorrow. Unite forever.” Miro was one of the few brands invited to partner with the summit.

Remote work has quietly created a blind spot that most IT teams have never had to manage before. An employee opens a laptop at home, at a co-working space, or at an airport gate, and the moment they connect, they are working on a network the company did not choose, did not configure, and cannot see. VPNs encrypt the tunnel once a connection is made, but they were never designed to answer a more basic question: what network is this device actually sitting on right now.

A colleague said something recently. We were talking about AI — how good it’s become, how fast it makes us — and he said: “It’s amazing, exciting. But also kind of lonely.” It’s true. We’ve built the most powerful thinking tool in history, handed a copy to everyone, and then used it to be more alone. Why? Because of a story we’ve always told ourselves about the lone genius. Except it’s not a story, it’s a myth.

Time-tracking tools and system-access controls can support these rules. But these tools should stop the work itself. They should not just stop it from showing up on a timesheet.

Gen Z often gets labelled "hard to manage," but workplace data can tell a more nuanced story than office gossip. Their approach to work is increasingly shaped by technology, flexibility, learning, and well-being, not a lack of ambition. 74% of Gen Z respondents say they use AI in their day-to-day work, according to Deloitte's 2026 Gen Z and Millennial Survey.