Teams | Collaboration | Customer Service | Project Management

You know how things work. The question is whether your team does—or whether that knowledge walks out the door the moment you do. Our research into 303 professional services firms found that only 21% have documented best practices. The other 79% are running on institutional knowledge. Which means onboarding takes longer, quality depends on who’s staffed on a project, and every departure walks out with know-how nobody wrote down. Most ops leads already know this.

Centralized project feedback is the foundation of effective collaboration for remote teams. Without a single place to collect, review, and track feedback, important decisions get buried across chats, emails, and meetings, leading to confusion and unnecessary rework.

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.

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.