Today at Leaders’ Connect 2026, Google Cloud’s newly appointed Country Manager, Saruj Thipsena, outlined the company’s vision to help enterprises advance their agentic transformation, enhance workforce productivity, optimize operational performance, and build highly personalized end-user experiences. Grounded in a shift from “cloud first” to “AI ready,” Google Cloud showcased its unique ability to help organizations power complex AI workloads at Thailand-scale while ensuring robust security, cost predictability, and governance.
“The opportunity is no longer just to experiment with new technology. The opportunity is to use AI to solve real problems, inside real organizations, at real scale. Success in the AI era is not about using AI ‘somewhere,’ but about tying it directly to workflows with clear business outcomes,” said Saruj Thipsena, Country Manager, Google Cloud Thailand. “Google Cloud offers a unified AI stack and powerful Gemini Enterprise platform that eliminates the heavy ‘integration tax’ of fragmented systems, empowering Thailand’s largest enterprises to seamlessly modernize their legacy infrastructure, manage tokenomics with absolute predictability, and safely scale autonomous agents from experimentation to production with tangible ROI.”
Innovating with the power of the Cloud and AI
This momentum is already being realized across major sectors in Thailand, where leading organizations are driving real business value in partnership with Google Cloud:
- Minor Hotels is designing a future-native platform for AI-driven hospitality, establishing the blueprint for more personalized, proactive and responsive guest experiences. Building on Google Cloud’s open and secure full-stack architecture, the platform unifies guest data across brands, regions and digital touchpoints, moving beyond simple AI-driven questions and answers to agentic orchestration. Grounded in this unified data, AI agents will reliably manage bookings, curate itineraries and resolve complex guest requests in real time.
- In financial services, Bitazza needed a scalable platform to consolidate data from multiple exchanges, digital assets, fiat currencies, and external sources as transaction volumes and data complexity grew. The company developed a centralized data platform on BigQuery that accelerates financial statement creation by 75 percent, cutting the process from one year to three months. It also supports near-real-time regulatory reporting and allows the data team to build and run their own CI/CD pipelines without a dedicated DevOps engineer.
- Wisesight, a Thailand-based social media analytics and marketing consultancy, is using Gemini on Google Cloud to analyze large volumes of social voice data and deliver intelligent insights to clients. Tasks across research, insight generation, and content creation that previously took around two days can now be completed in approximately 30 minutes—bringing faster insights and actions closer to the business.
Navigating the Economics of AI to Scale Predictably
As organizations transition from pilots to full production, managing the economics and predictability of running complex AI workloads becomes a critical differentiator. Google Cloud is addressing this head-on by giving enterprises both choice and control over their tokenomics:
- Choice: Through Gemini Enterprise, businesses can flexibly deploy the right model size for the right job, gaining predictable insight into workflow costs and ROI. Because Google Cloud owns its entire vertical stack—from custom TPUs to Gemini models—it passes massive efficiency gains directly to customers, significantly lowering the cost per token.
- Control: To prevent token bill-shock, Gemini Enterprise provides robust FinOps and governance tools that give IT and finance leaders granular visibility into agent performance and costs. This transparency gives Thailand enterprises the confidence to scale safely from localized use cases to broad, cross-organizational deployment.
Security the Agentic Enterprise with Google AI Threat Defense
As organizations deploy autonomous agents across core workflows, securing the agentic enterprise requires moving from reactive patching to an always-on, autonomous defense.
Today, Google Cloud also announced the launch of Google AI Threat Defense — an automated security system designed to help enterprises continuously monitor for and stop AI-powered threats before they can impact your business. By combining the contextual risk prioritization of Wiz, the code remediation capabilities of CodeMender, the intelligence of Gemini, and the frontline expertise of Mandiant, Google Cloud provides the architecture needed to match the speed of the adversary. AI Threat Defense also uses a variety of models via the Gemini Enterprise Agent Platform to enable organizations to find the largest collection of vulnerabilities while managing costs, enabling them to scan, remediate, and maintain their software assets on an ongoing basis.
“AI has dramatically shifted the threat landscape, and attacks that used to take weeks to carry out can now happen in mere minutes or hours. To defend against this range of threats, organizations need more than one model or agent – they need a collection of models for multiple passes, and a solution that can analyze their systems, prioritize the most significant threats, patch vulnerabilities quickly, and continuously monitor for new attacks,” said Steve Ledzian, CTO, Google Cloud Security and Mandiant, Japan and Asia Pacific.
