The Fujitsu AWS Lab methodology is built around tight collaboration between Fujitsu’s specialists in retail and service industries and the solution architects at AWS Japan. The lab operates on three core activities that guide customers from early problem discovery to deployment.
First, teams work directly on-site with customers to uncover underlying operational issues that are often difficult to see from the surface. Through these visits, they identify pain points, map workflows, and design solutions that apply the latest AWS technologies in a practical and relevant way.
Second, the lab enables rapid proof-of-concept development, moving customers from idea exploration to implementation decisions within a 90-day window. This speed helps organizations test generative AI, automation tools, and cloud capabilities without long planning cycles.
Third, Fujitsu standardizes solutions based on its accumulated industry expertise and AWS’s broad cloud service portfolio, allowing proven use cases to be adapted and deployed across multiple industries and customer types.
After gaining strong traction in food distribution, the Fujitsu AWS Lab is preparing to expand its scope beyond retail and service sectors to cover broader industries across Japan. This expansion is driven by increasing demand for generative AI, secure cloud architectures, and collaborative data ecosystems.
Fujitsu aims to combine AWS’s cloud and AI capabilities with its cross-industry insights to help Japanese companies build sustainable digital transformation strategies. Many enterprises in Japan still struggle with issues such as transferring knowledge from retiring experts, automating manual workflows, and integrating AI into legacy environments.
The lab’s structured approach is meant to tackle these challenges while helping organizations discover new revenue opportunities and modernize operations without losing business continuity.
A clear example of the lab’s effectiveness can be seen in the experience of Mitsubishi Shokuhin. General Manager Tomohiko Sugimoto explained that the company faced a major challenge in transferring critical knowledge during an inter-company EDI project tied to its AI adoption strategy.
By working closely with the Fujitsu AWS Lab, Mitsubishi Shokuhin was able to standardize expert insights using generative AI chatbots, reducing dependence on manual documentation and speeding up automation. This approach also opened the door to advanced initiatives such as preventing system issues before they occur and improving long-term operational stability.
The strategic foundation of the Fujitsu AWS Lab comes from Fujitsu’s long-running global collaboration agreement with AWS. Both companies share a history of supporting large-scale transformation initiatives across Japan.
Hiroyuki Tsutsumi, Director of Enterprise Business Unit at AWS Japan, emphasized his confidence in the partnership, noting that the combination of Fujitsu’s deep domain expertise with AWS’s generative AI and cloud technologies will accelerate innovation across many industries, not just retail and services. His view reflects a broader shift in Japan, where enterprises are increasingly looking for trusted partners who can help them adopt AI in a secure, responsible, and scalable way.
Yoshiko Furuhama, Corporate Executive Officer EVP for Enterprise Business at Fujitsu, described the Fujitsu AWS Lab as a central hub designed to connect customers’ on-site operational realities with high-level management strategies. According to Furuhama, the lab’s mission goes beyond deploying new systems.
The goal is to use technology and AI to solve real organizational challenges and create measurable business value. She emphasized that the lab provides support throughout the entire lifecycle, from defining concepts to verifying their feasibility and guiding companies through deployment.
A key strength of the lab lies in its ability to support gradual modernization. Japanese enterprises often operate complex technology environments that include mainframes, older EDI systems, and newer cloud applications. The Fujitsu AWS Lab offers a phased approach where legacy systems can be connected and enhanced through API integration rather than replaced outright.
This helps organizations in food distribution, retail, manufacturing, trading, and other service sectors adopt AI without taking unnecessary operational risks. The lab recognizes that success in Japan often requires balancing innovation with stability, especially when mission-critical systems have been in place for decades.
Sustainability is also an important pillar of the initiative. Fujitsu positions the lab as part of its wider mission to contribute to a more sustainable world by building trust through innovation. The company aligns the lab’s goals with the United Nations Sustainable Development Goals, highlighting that responsible digital transformation can reduce waste, streamline resources, and promote more efficient industry practices. As companies adopt cloud and AI solutions through the lab, they also move closer to achieving long-term sustainability and ESG commitments.
The launch of the Fujitsu AWS Lab comes at a time when Japanese enterprises are accelerating their adoption of generative AI to stay competitive. Japan’s business environment, which values long-term partnerships, precision, and incremental improvement, makes the lab model especially suitable.
It provides a structure where industry knowledge and modern cloud capabilities come together to produce tangible business outcomes rather than theoretical demonstrations. The emphasis on co-creation mirrors how many Japanese organizations prefer to innovate: through collaborative, trusted relationships that support practical and continuous progress.
Looking ahead, the Fujitsu AWS Lab showcases how established systems integrators and global cloud providers can work together to meet regional market needs. The lab’s success will rely on delivering repeatable value through its 90-day deployment cycle, expanding validated solutions across industries, and staying agile as AWS continues to evolve its AI and cloud services. Its mission is to help customers transform legacy operations into intelligent, AI-powered systems that address real management challenges while keeping operational risks low.
Discover how regional partnerships between systems integrators and cloud providers are accelerating enterprise AI adoption through industry-focused collaboration models, visit ainewstoday.org for comprehensive coverage of business transformation initiatives, rapid deployment methodologies, generative AI applications, and the strategic alliances determining which organizations successfully navigate the journey from legacy systems to AI-powered operations!
