PodChats for FutureCIO: Enabling workplace and collaboration for distributed IT teams

From IT’s view, enabling the workplace means ending the chaos of disjointed apps as well as siloed technologies and work environments. This workplace complexity breeds fragmentation spikes where teams juggle chat, docs, and tickets while workflows stall. One of the CIO’s critical missions in 2026 should be to restore flow: a unified system where conversations trigger actions, not more tabs. We need platforms that reduce IT firefighting by embedding knowledge, automation, and follow-through into collaboration itself. When work moves seamlessly from talk to completion, only then can we finally stop maintaining tools and start enabling outcomes. This is the Resolution Economy – an economic model that focuses on guaranteed outcomes, reduced fragmentation and systemic resolution beyond experience. For the IT department, the resolution economy means fewer alerts, smoother integrations, and a digital workplace that works as one.Joining us on PodChats for FutureCIO is Carlos Quaderi, head of Asia, Zoom. He will share his perspective on the technologies and workflows for enabling workplace and collaboration for distributed IT teams.Questions1.       How do we measure ROI when collaboration platforms evolve from communication hubs to operational “systems of action”?2.       With AI agents joining workflows, how do we govern data privacy across ASEAN’s varying regulations?3.       Can our current stack reduce fragmentation without forcing yet another new tool on employees?4.       What metrics truly indicate workflow completion velocity, not just user activity?5.       How should we rethink vendor lock-in when a single platform begins controlling both conversation and execution?6.       Will hyperlocal infrastructure (e.g., Indonesia’s data sovereignty laws) limit seamless cross-border collaboration?7.       How do we balance frontline worker needs with knowledge workers in one integrated platform?8.       What new security boundaries are needed when AI “follow-through” pulls data across previously siloed systems?