Teams | Collaboration | Customer Service | Project Management

Government teams carry out work the public relies on every day: work that builds safer communities, strengthens infrastructure, and delivers critical services. This work demands coordination across agencies and partners, often under intense scrutiny and with limited resources. Outdated systems make that harder. Spreadsheets and email threads bury important updates, and legacy tools slow teams down when urgency is highest.

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.

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.

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.