Fujitsu Introduces Multi-AI Agents to Boost Supply Chains

Fujitsu has announced the development of a new multi-AI-agent collaboration technology that connects AI agents across multiple companies in a supply chain for fast and secure coordination and rapid optimization, even in case of disruptions. The firm plans to start joint field trials in January 2026, beginning with Rohto Pharmaceutical Co., Ltd., in collaboration with Science Tokyo (Institute of Science), testing the new system in real supply chain conditions.

This move shows a rising trend toward “agentic AI” systems. In these systems, AI agents work together on their own. This makes supply chains more agile and resilient. They can quickly respond to sudden changes in demand, logistics, or emergencies.

How it works: Secure collaboration without data exposure

A central challenge for supply‑chain AI has been how to enable various firms-often competitors or independent vendors-to coordinate without exposing sensitive business data. Fujitsu’s new approach tackles this with two major innovations:

Global Optimal Control under Incomplete Information: The system allows one AI agent-the “proposing” agent-to coordinate with others through a negotiation based exchange of proposals and responses, thereby estimating the behavior and constraints of partner agents without having those agents disclose sensitive internal data. This will, in turn, provide an optimal collective state for the whole supply chain.

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Secure Inter‑Agent Gateway with Guardrails: This is a gateway based on distributed AI learning and “communication guardrail” technology that allows agents to cooperate while keeping confidential information safe. It implements various techniques like knowledge distillation, dynamic model pairing depending on trust and past performance, and continuous simulation and monitoring to avoid data leakage or malicious query exploitation.

In effect, the technology enables a federated‑AI environment: each company holds its own data in private custody, while AI agents interact via a secure, regulated protocol that allows for multi‑vendor coordination without compromising confidentiality.

Early Trial: Strong Cost‑Saving Potential

Fujitsu’s virtual supply chain model with Rohto Pharmaceutical looks very promising. Optimized logistics routes and scheduling can reduce transportation costs by up to 30%.

In January 2026, Fujitsu and its partners will bring this technology to real-world supply chains. They will run pilots until March 2027. If it works, this could lead to broad use in pharmaceutical, manufacturing, retail, and other fields.

Fujitsu plans to deploy the solution from fiscal 2026 under its cross-industry “Uvance” business model, in particular through its Dynamic Supply Chain services, with a focus on expansion into more complex supply chains crossing industries.

What This Means for Japan’s Tech Industry

Supply‑Chain Resilience Becomes an AI‑Driven Differentiator

In a world that is still reeling from supply disruptions, natural disasters, and demand volatility, it is now more crucial than ever to develop supply‑chain resilience. Fujitsu’s multi‑AI agent framework offers a blueprint for companies to orchestrate across vendors and partners in real time — without compromising data privacy.

This could become a competitive differentiator for Japan’s manufacturing, pharmaceuticals, retail, and logistics companies: companies using the agentic AI supply-chain systems may cut costs while being quicker to react to disruptions and operating smoother when under stress.

Growth in the AI Ecosystem Beyond Large Enterprises

Because Fujitsu’s solution doesn’t require centralized data sharing-just secure agent coordination-small and mid-sized firms can join in too. In this way, advanced supply-chain automation can be democratized and a wider range of companies can benefit. As demand increases, the related sectors will also expand: AI-system integrators, secure AI-gateway vendors, logistics analytics firms, and compliance consultants.

Encouraging Cross‑Industry, Cross‑Company Collaboration

The use of multi-agent coordination would open avenues for cross-industry cooperation: pharmaceuticals, manufacturing, retail, logistics, and even disaster-response agencies could integrate agents under a common framework. This will, in turn, accelerate models such as “supply-chain as a service”, joint procurement platforms, or robust disaster-resilient supply networks that are bound to bring more innovation in business models and collaboration across sectors.

Reinforcing Japan’s Position in Agentic AI & Industrial AI

This work falls in line with Fujitsu’s broader AI strategy: earlier this year, the company announced expanded collaboration with NVIDIA to build a full‑stack AI infrastructure that supports specialized industrial agents.

Japan may emerge as the world leader of this form of “agentic AI for industrial systems” with advanced infrastructure and practical, enterprise-ready applications, thanks to this multi‑agent supply‑chain technology.

Challenges and What Businesses Should Watch

Complexity in Inter‑Company Trust & Governance: Multi‑vendor coordination will only work widely when companies can establish a way of governance, trust frameworks, and agreement‑mechanisms for agent interaction. Even with secure gateways, alignment in business relationships and contracts is needed.

Integrating AI agents: It would need modernization, standardization of data, and investment in IT infrastructures for most Japanese companies, particularly SMEs, which rely on legacy ERP or logistics systems.

Regulatory & Data Privacy Considerations: Even though raw data is not shared, companies must make sure the system complies with data protection laws and auditing requirements-especially for those industries dealing in sensitive or regulated data, such as pharma, health, and food.

Scalability across complex, global supply chains: Supply chains will increasingly grow across borders and include many vendors. This may lead to latency, compliance differences, and coordination lag. In particular, this technology needs robust scalability, secure global coordination, and cross‑jurisdiction governance.

Why this could be a turning point

Fujitsu’s announcement signals a big change in supply chain management. They are advancing beyond simple automation. Now, they’re introducing autonomous, collaborative AI agents. These agents will replace the old systems that relied on manual coordination.

Successful field trials and scalable technology may create a new industrial model in Japan. Supply chains can be resilient, adaptive, and optimized in real-time. They can also protect privacy and limit data sharing.

This could provide an effective tool for Japanese companies seeking to strengthen resilience against risks such as global supply shock, the pressure of regulation, and increasing complexity. In the tech industry, this portends a future in which agentic AI forms part of the backbone driving industrial operations.

In short: Fujitsu‘s multi-AI agent collaboration technology may well become the cornerstone for the next-generation supply-chain strategy of Japan, combining digital transformation, sustainability, and resilience.