Teams | Collaboration | Customer Service | Project Management

Microsoft Copilot brought generative AI into everyday work by embedding assistance across Microsoft 365 apps. It positioned AI as a productivity layer for writing, summarizing, and searching—especially for organizations already locked into the Microsoft ecosystem. However, even Satya Nadella has openly acknowledged that early Copilot adoption has shown AI alone does not automatically translate into business outcomes.

The AI-native workforce is about to change everything.

Great ideas start in AI tools. With 87% of employees now using AI at work,* teams brainstorm ideas, shape plans, get quick context, and move fast with the help of AI every day. And they're not waiting for official company AI rollouts either—only 31% of organizations have an AI usage policy in place.* As a result, work is no longer happening in one place. Employees jump between AI tools and their existing tech stacks, scattering tasks, content, and thinking across them.

How Slack's real-time security architecture protects enterprise data in the age of AI.

For years, and even decades since its inception, this question has always been a topic of debate and controversy. The poll is: Can artificial intelligence replace human intelligence? Some say yes. Experts say no with proof. So, in short, the answer is no. AI can replace a human in only its dreams, if it ever gets any. Jokes aside, it has always been a tendency of humans to ensure that their creations never surpass them or their intelligence. Since developers have coded AI, there are still limitations.

The talent you can’t afford to lose is already looking at the door. They’re watching AI reshape their industry and wondering if your organization can keep up. If your retention strategy hasn’t evolved, you’re already behind.

Field service has always been a logistics puzzle. Every morning, dispatchers face the same challenge: match the right technician to the right job at the right time. For decades, this meant phone calls, whiteboards, and gut instinct. Now, artificial intelligence is rewriting those rules entirely. The shift is not subtle. Companies that once spent hours coordinating schedules now watch algorithms handle the heavy lifting in seconds. Technicians receive smarter routes. Customers get faster service.

We spoke to Tom Goodwin, futurist, transformation consultant, and tech optimist, to get his reaction to Teamwork.com’s report The Sprint to AI. Tom’s hot take? Winning the AI race is less about speed, and more about pace, strategy, and keeping a cool head. Here’s 10 key learnings from our chat that offer a different perspective on AI and how it’s impacting client work. Clients on your back about AI?

If your medical team spends hours every week on tasks that have nothing to do with patient care, you are adding unnecessary pressure to an already overworked staff. Scheduling appointments, verifying insurance, transcribing notes, processing billing and coordinating referrals are all responsibilities a virtual medical assistant can handle more efficiently. But most healthcare practices struggle with virtual assistants because managing them effectively is nearly an impossible task.