Marubeni I-DIGIO and Google Cloud Boost Agentic AI

Marubeni I-DIGIO Group has entered a strategic partnership with Google Cloud to expand enterprise AI adoption in Japan, with a major focus on Agentic AI and autonomous business operations.

The partnership goes beyond the usual ‘AI assistant’ positioning that most enterprise projects still revolve around. Both are working on AI agents which can autonomously do decision-making, carry out the tasks, and run workflows with little to no human intervention. That is the bigger shift here. Enterprise AI is slowly moving from support tools into operational infrastructure.

Marubeni I-DIGIO plans to act as its own testing ground through a ‘Client Zero’ approach. Instead of selling AI concepts first and figuring out implementation later, the company will deploy Google Cloud technologies internally across the broader Marubeni Group and use those real-world results to shape external offerings for businesses, governments, and educational institutions.

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The stack includes tools like Gemini, Google Workspace, and Looker, which will be used to build what the company calls an ‘Agentic Workplace.’ The objective of this project is to achieve three targets which involve automating repetitive tasks and enhancing decision-making through data analysis and transforming internal operations through AI-based execution.

Another important layer is industry knowledge. Marubeni I-DIGIO says it wants to convert trading company expertise, including negotiation processes and supply chain management practices, into AI-driven ‘Agent Services’ capable of autonomously handling specialized tasks.

Google Cloud provides infrastructure modernization support through its partnership, which includes cloud migration and security and governance and long-term operations management.

The current state of enterprise AI adoption shows the direction that businesses are taking. Businesses have stopped testing individual chatbots as their experimental period has ended. The next wave of technology will implement artificial intelligence into operational processes and workflow systems and decision-making systems to perform as a digital operator instead of just another productivity tool.