Teams | Collaboration | Customer Service | Project Management

For years, organizations have invested heavily in modernization, automation, and now AI to move faster and operate more efficiently. Yet many leaders feel a growing gap between the technology they’ve deployed and the performance they’re able to achieve.

Get your team aligned on the who, what, when, where, and why of using AI.

Microsoft Copilot is often marketed as AI included with Microsoft, suggesting a simple, predictable add-on to Microsoft 365. In reality, Copilot pricing is layered, conditional, and easy to underestimate. What starts as a per-user cost quickly escalates into eligibility requirements, additional licenses, usage-based capacity limits, and data-readiness dependencies that are not always clear upfront.

MING Labs is a global venture builder and corporate innovation company that partners with organizations to discover new growth opportunities through design. Operating across multiple continents, the firm specializes in taking clients from high-level goals and initial ideas to market-ready solutions and first revenue, navigating the complex terrain of stakeholder alignment, customer discovery, and rapid prototyping.

For too long, security teams have been positioned as the gatekeepers who assess what everyone else builds — always evaluating risk, rarely driving innovation. This reactive stance has consequences: When security is seen as a blocker rather than an enabler, businesses find workarounds, and critical controls are implemented too late, if at all. The question is, ‘Will AI be different?‘

When iconic Swiss bag designer FREITAG wanted to update its enterprise resource planning (ERP) system, they turned to Smart System Guild — a Miro Partner specializing in transformation projects. The result? Across 15 workshops with 40 FREITAG experts, the team captured requirements and built full system specs in Miro, delivering a replacement system months ahead of schedule. The method?

We put so much effort and money into finding and hiring new talent. We need to put as much effort into making them feel like they made the right decision — even before day one. A positive first impression during employee onboarding builds a foundation for long-term success.

When teams learn by doing, AI stops feeling abstract and starts driving real behavior change, from higher usage to stronger everyday skills.