Mei’s Innovation Log: How APAC is implementing AI into digital workplace strategies
Quick read, Artificial IntelligenceIn the latest edition of her LinkedIn newsletter, "Mei's Innovation Log,” TeamViewer CPTO Mei Dent reflects on recent travels across India, China, Vietnam, and Singapore. She shares observations from customer meetings, partner conversations, and internal events that reveal both strong AI progress and an evolving digital workplace landscape.
- AI is already part of everyday business thinking: In many conversations, the question is no longer whether AI should be used, but how to make it work within specific environments, data structures, and operational constraints.
- Hands-on capability is becoming more common: In India, for example, many R&D candidates were not just experimenting with AI — they were actively building with it and discussing real technical applications, reflecting a different baseline than in previous years.
- The pace of conversation is moving faster: Across several APAC markets, there was often less need to explain AI fundamentals and more focus on what comes next, particularly around building in open, flexible cloud environments that can adapt over time.
- Digital workplace terminology isn’t always established: Terms like Digital Employee Experience (DEX) or autonomous endpoint management (AEM) were not always immediately familiar, even though the business problems behind them — disconnected tools, fragmented systems, and workflows lacking cohesion — were widely understood.
- The challenge is creating coherence: TeamViewer’s Digital Friction research reinforces this gap, with fragmented systems continuing to cost employees productive time. In many cases, awareness of the problem exists, but the language and framework for solving it are still developing.
- AI’s next phase is operational integration: Early efficiency gains may come from plugging AI into existing processes, but bigger long-term impact will require rethinking workflows, simplifying outdated systems, and better connecting how organizations operate.
The bigger picture
Across APAC, AI adoption appears to be moving quickly from curiosity to active engagement. At the same time, there is still meaningful opportunity to define how AI, systems, and workflows fit together in a sustainable way.
That combination of rapid capability building alongside a still-evolving digital workplace framework may ultimately create more room for organizations to shape how AI-ready enterprises are built.
Subscribe to Mei’s Innovation Log on LinkedIn to follow the series and join the conversation on how AI is shaping the future of work.