Google Cloud is repositioning its Indonesia strategy around agentic AI, with Gemini Enterprise placed at the center of the shift. The company is no longer framing the conversation as a simple move to cloud infrastructure, but as a broader push to make organizations “AI ready” in ways that can be measured in business outcomes.
That message was reinforced at Indonesia Leaders’ Connect 2026, where Google Cloud described a future built on productivity, efficiency, and more personalized work processes. The focus is on turning AI from an isolated experiment into part of daily operations.
Indonesia Is Emerging as the Real-World Stress Test
According to Karim Siregar, Google Cloud Indonesia’s newly appointed Country Director, Indonesia presents a more complex operating environment than many other markets. Millions of mobile-first users are spread across metropolitan areas as well as tier-2 and tier-3 cities, which makes engineering and deployment far more demanding.
That fragmentation is one reason Google Cloud is promoting an integrated AI stack and Gemini Enterprise. The goal is to reduce the burden of connecting disconnected systems while also helping companies modernize legacy infrastructure and manage token usage more carefully.
Karim said the challenge is no longer only about migrating systems to the cloud. The harder task is integrating AI into workflows in a way that produces visible business results.
Early Results Are Already Showing Up Across Key Sectors
Several organizations in Indonesia have already started using Gemini Enterprise, and the initial outcomes point to practical business impact. Media Indonesia reported that the clearest examples are appearing in media, telecommunications, and financial services.
| Sector | Organization | Reported Result |
|---|---|---|
| Media & Technology | Emtek Group (Vidio) | Redevelopment of “New Keluarga Somat” was 30% faster and more cost-efficient through VidioGen. |
| Telecommunications | Indosat | User churn fell 50%, ARPU rose by more than 6%, and network savings could reach Rp1.3 trillion. |
| Financial Services | CIMB Niaga | AI Agents were launched for Relationship Managers and the Contact Center, with data hosted in the Jakarta region. |
The examples suggest that the platform is being used for more than testing. Google Cloud wants autonomous agents to move from pilot projects into production with a clearer return on investment.
Cost Discipline Is Being Built Into the AI Push
Google Cloud is also emphasizing economics as part of the adoption strategy. Through Gemini Enterprise, companies can choose model sizes that match their needs, which helps keep spending under control.
The company says its vertical stack, from custom TPU to the Gemini model family, is designed to lower the cost per token for customers. To support that approach, it also provides FinOps tools and governance features so IT and finance leaders can see costs more clearly.
That focus matters because many companies want AI innovation without unpredictable spending. Google Cloud is positioning cost control as a practical requirement, not a side benefit.
Expanded FDE Support Is Meant to Speed Up Deployment
To accelerate implementation, Google Cloud is expanding its Forward-Deployed Engineer team in Indonesia. These engineers will work directly in customer environments as an extension of internal engineering teams.
The support is intended to reduce project risk and shorten the path from experimentation to production. Google Cloud says the priority is practical deployment in operational areas such as data analysis automation and supply chain efficiency.
Karim Siregar said the real value of AI will come from direct workflow integration, not from using AI in isolated places. That position reflects the company’s broader message that the next phase of enterprise AI in Indonesia must deliver visible operational value.
