Teams | Collaboration | Customer Service | Project Management

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.

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.

Every few months, something shifts. What you’re doing in Slack today wasn’t possible three months ago. In April, Slackbot learned to act. In May, it learned to see. In June, it learned you and your systems. And it listens. In July, Slackbot moves work forward, in the conversation.

Most professional services automation (PSA) buying guides exist to sell you a PSA. This one might actually talk you out of it. A PSA is the most powerful platform a services firm will ever buy. But it only amplifies what’s already there. If your operations and processes are a mess, a PSA won’t fix that. It’ll just help you scale the mess, faster. It’s only worth the investment once your foundation is solid.

Choosing a cloud compliance recording platform is a bigger decision than swapping infrastructure. For a regulated firm, the recording system is the evidence base it relies on in an audit or investigation, so the platform has to be judged on what it can prove, not just its features. This guide sets out why regulated firms are moving compliance recording to the cloud and what the move gains them.

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.

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.

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

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.

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.