MUFG Bank Receives 'FDUA Award Grand Prize' at FDUA Award 2026
MUFG Bank has been awarded the top 'FDUA Award Grand Prize' at the FDUA Award 2026, hosted by the Financial Data Utilization Association (FDUA), for its business transformation through the establishment of an enterprise knowledge base utilizing generative AI.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 19:00
- 🔍 Collected: May 26, 2026 at 10:31
- 🤖 AI Analyzed: May 26, 2026 at 11:14 (42 min after Collected)
## Press Release Translation
Mitsubishi UFJ Trust and Banking Corporation (President: Hiroshi Kubota; hereinafter "MUFG Bank") has received the highest honor, the 'FDUA Award Grand Prize', at the 'FDUA Award 2026' hosted by the Financial Data Utilization Association (FDUA).
This award recognizes the bank's initiative to redefine the deep specialized knowledge cultivated as a trust bank as an enterprise asset—a source of competitiveness in the generative AI era—and to establish an enterprise knowledge base that allows for cross-departmental utilization, inheritance, and swift, continuous access by employees.
1. About the 'FDUA Award'
The 'FDUA Award' is an honors program that recognizes efforts by financial institutions in Japan that have contributed to the advancement of financial data utilization and infrastructure development. The Grand Prize is awarded to the financial institution evaluated as having the most outstanding performance in these areas.
FDUA is an organization established by financial institutions and AI startups, formed to promote the practical adoption of AI and data utilization within the financial sector as digitalization accelerates.
2. About the Awarded Initiative
- Award Name: FDUA Award 2026 Grand Prize
- Project Title: Realizing Business Transformation and Enhanced Competitiveness through the Establishment of an Enterprise Knowledge Base Utilizing Generative AI
Project Overview:
- Constructed a mechanism to continuously expand and improve on-site knowledge by utilizing AI assistants for systematic maintenance of knowledge databases, creation of specialized terminology dictionaries, and structuring of unstructured data.
- Expanded to 4 business areas and 9 operations as of January 2026, growing into an initiative that achieves operational efficiency of 71,000 hours per year.
Evaluation Points:
- Redefined the source of competitiveness in trust business not as 'AI model sophistication' but as 'Enterprise Knowledge' itself.
- Demonstrated commitment to foundational infrastructure such as specialized terminology dictionaries and unstructured data conversion, achieving implementation in a short period.
- Achieved growth to 71,000 hours of efficiency gains across multiple business areas by Jan 2026.
- Established sustainability and scalability through a field-led improvement cycle and CoE-driven organizational framework.
3. MUFG Bank's Initiatives Utilizing Generative AI
Mitsubishi UFJ Trust and Banking Corporation has been working on the internal implementation of generative AI since the first half of fiscal year 2023.
Trust banking operations rely on a foundation of high-level specialized knowledge regarding laws, product design, and business processes. This knowledge is the source of problem-solving capability and competitiveness. However, challenges existed: manuals, past inquiries, and veteran experience were scattered across departments, leading to time-consuming search, understanding, and knowledge transfer, with critical know-how becoming 'tacit knowledge' personalized to specific employees.
To address these issues, the bank combined generative AI and other digital technologies with its deep specialized knowledge base. It built a knowledge management infrastructure to convert tacit knowledge into 'explicit knowledge' that can be utilized and continuously leveraged organizationally to drive business transformation and strengthen competitiveness.
In addition to the awarded initiative, the bank is promoting efforts—supported by various business partners and AI startups—in document generation/verification requiring specialized expertise, data management supporting the knowledge infrastructure, and the fostering of a culture that encourages individual employee challenge.
Going forward, the bank aims to further elevate its knowledge management to leverage individual employees' insights and experiences as organizational power, thereby enhancing value provided to customers and achieving sustainable corporate value growth.
Mitsubishi UFJ Trust and Banking Corporation (President: Hiroshi Kubota; hereinafter "MUFG Bank") has received the highest honor, the 'FDUA Award Grand Prize', at the 'FDUA Award 2026' hosted by the Financial Data Utilization Association (FDUA).
This award recognizes the bank's initiative to redefine the deep specialized knowledge cultivated as a trust bank as an enterprise asset—a source of competitiveness in the generative AI era—and to establish an enterprise knowledge base that allows for cross-departmental utilization, inheritance, and swift, continuous access by employees.
1. About the 'FDUA Award'
The 'FDUA Award' is an honors program that recognizes efforts by financial institutions in Japan that have contributed to the advancement of financial data utilization and infrastructure development. The Grand Prize is awarded to the financial institution evaluated as having the most outstanding performance in these areas.
FDUA is an organization established by financial institutions and AI startups, formed to promote the practical adoption of AI and data utilization within the financial sector as digitalization accelerates.
2. About the Awarded Initiative
- Award Name: FDUA Award 2026 Grand Prize
- Project Title: Realizing Business Transformation and Enhanced Competitiveness through the Establishment of an Enterprise Knowledge Base Utilizing Generative AI
Project Overview:
- Constructed a mechanism to continuously expand and improve on-site knowledge by utilizing AI assistants for systematic maintenance of knowledge databases, creation of specialized terminology dictionaries, and structuring of unstructured data.
- Expanded to 4 business areas and 9 operations as of January 2026, growing into an initiative that achieves operational efficiency of 71,000 hours per year.
Evaluation Points:
- Redefined the source of competitiveness in trust business not as 'AI model sophistication' but as 'Enterprise Knowledge' itself.
- Demonstrated commitment to foundational infrastructure such as specialized terminology dictionaries and unstructured data conversion, achieving implementation in a short period.
- Achieved growth to 71,000 hours of efficiency gains across multiple business areas by Jan 2026.
- Established sustainability and scalability through a field-led improvement cycle and CoE-driven organizational framework.
3. MUFG Bank's Initiatives Utilizing Generative AI
Mitsubishi UFJ Trust and Banking Corporation has been working on the internal implementation of generative AI since the first half of fiscal year 2023.
Trust banking operations rely on a foundation of high-level specialized knowledge regarding laws, product design, and business processes. This knowledge is the source of problem-solving capability and competitiveness. However, challenges existed: manuals, past inquiries, and veteran experience were scattered across departments, leading to time-consuming search, understanding, and knowledge transfer, with critical know-how becoming 'tacit knowledge' personalized to specific employees.
To address these issues, the bank combined generative AI and other digital technologies with its deep specialized knowledge base. It built a knowledge management infrastructure to convert tacit knowledge into 'explicit knowledge' that can be utilized and continuously leveraged organizationally to drive business transformation and strengthen competitiveness.
In addition to the awarded initiative, the bank is promoting efforts—supported by various business partners and AI startups—in document generation/verification requiring specialized expertise, data management supporting the knowledge infrastructure, and the fostering of a culture that encourages individual employee challenge.
Going forward, the bank aims to further elevate its knowledge management to leverage individual employees' insights and experiences as organizational power, thereby enhancing value provided to customers and achieving sustainable corporate value growth.
FAQ
FDUAアワード大賞とはどのような賞ですか?
日本国内の金融機関による金融データ活用活動全体を対象とし、データ活用およびインフラ整備の向上に最も寄与した成果を表彰する制度における最高位の賞です。
三菱UFJ信託銀行が評価された主なポイントは?
ナレッジを企業資産として再定義した点、非構造データの構造化などの基盤整備を短期間で実装した点、および年間71,000時間規模の業務効率化を実現した点が評価されました。
ナレッジマネジメント基盤はどのような成果を上げていますか?
2026年1月時点で4事業領域・9業務へ展開されており、生成AIを活用した業務変革を通じて年間71,000時間規模の業務効率化につながっています。
金融データ活用推進協会(FDUA)とは?
金融業界のデジタル化が進む中、金融機関の実務目線でAI・データ活用を推進するために、金融機関とAIスタートアップなどが集まり発足した団体です。
三菱UFJ信託銀行の生成AI活用はいつから始まりましたか?
2023年度上期より社内での生成AI活用に向けた取り組みを開始しています。