Teams | Collaboration | Customer Service | Project Management

Almost every IT leader I talk to is chasing AI. And they should be — Miro’s own survey of 8,000 people across six global markets shows that 63% of employees are already using it. But here’s the problem: Most companies risk watching their AI productivity gains vanish when they bolt AI onto systems already buckling under too many tools. This is a clear fork-in-the-road moment.

Consistency is one of the most underrated drivers of business success. Even with modern planning tools, many teams still struggle to follow schedules accurately. Schedule adherence measures how well employees stick to planned work hours, a crucial indicator of discipline, accountability, and overall efficiency. Whether managing a call center, retail operation, or remote team, improving adherence boosts productivity, customer satisfaction, and profits.

Job openings are on the rise for workers with AI know-how, despite decreased overall hiring in tech.

About 70% of major change efforts fail to achieve their intended goals, and the cause comes down to people-related challenges. Our lived experience intuitively reinforces this. It’s most often not what we’re trying to implement — the new system, new program, or merger — but how we’re going about it. So let’s remember this as we tackle AI-enabled transformations and prepare our workforces for AI adoption, reskilling, and disruption.

By Grant Stanis, CEO of TeamSupport Most CEOs still think of customer support as the team you call when something breaks. They measure success in tickets closed and response times. But in B2B, that’s an outdated—and expensive—way to operate. If your support team isn’t part of your retention strategy, you’re burning money and losing customers you already worked hard to win.

The workplace is never a cozy place to be for any employee. Even though you might love your job and find your organization convenient enough, there will be some sort of stress. However, some employees will be more stressed out while others will be less stressed out at work. Remember that too much stress can lead to burnout, which you would never want. So, to prevent your workplace from reaching this point, you need stress management techniques.

Businesses everywhere are betting on a new wave of autonomous AI agents: technologies built to take on decisions and tasks once reserved for people. The promise is sweeping: agents will be able to run work in the background and carry out tasks directly, transforming how organizations operate. According to The Work Innovation Lab, 76% of workers expect to hand off nearly half their tasks to these agents within three years.