Regarding the Conclusion of a Basic Agreement on Collaboration for the Transformation of Financial Practices Using Data and AI, and Next-Generation Data Utilization
Resona Holdings, BrainPad, and Fujitsu have signed a basic agreement to collaborate on advancing financial operations using data and AI, aiming to create autonomous AI agents and expand these solutions to regional financial institutions.
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- 📰 Published: March 31, 2026 at 00:30
- 🔍 Collected: March 30, 2026 at 22:56
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Resona Holdings, Inc. (Headquarters: Koto-ku, Tokyo; Director, President and Representative Executive Officer, Group CEO: Masahiro Minami), BrainPad Inc. (Headquarters: Minato-ku, Tokyo; Representative Director, President and CEO: Tomohiro Sekiguchi), and Fujitsu Limited (Headquarters: Kawasaki-shi, Kanagawa; Representative Director and President: Takahito Tokita*) today signed a basic agreement regarding collaboration on the advancement of financial practices utilizing data and AI, and next-generation data utilization with a view to expanding into regional areas and other industries.
*Depending on the specifications of the publication media or viewing environment, the character '隆' (Tokita) may not display correctly. The correct character has a '一' (one) over '生' (life) in '隆'.
Purpose of the Collaboration
Amidst growing uncertainty surrounding corporate management due to fluctuations in commercial distribution, disasters, and supply chain disruptions, financial institutions are required to provide more sophisticated corporate support, screening, and monitoring operations. Resona Group and BrainPad have previously promoted the utilization of data and AI in financial practices, starting with data to advance Resona Group's operations and providing the business support AI software 'Data Ignition' (Note 1) for regional financial institutions. By adding Fujitsu, which possesses high technological capabilities and abundant knowledge of social implementation in the data and AI domains, to this collaboration, we aim to co-create next-generation data and AI utilization models with an eye toward expansion into regional and other industries, going beyond just creating use cases in financial practices.
Driving sustainable growth of regional economies through the co-creation of data and AI
In this collaboration, Resona Group's actual business operations will be positioned as a field for demonstration and early utilization, creating various use cases that lead to the advancement of business processes in financial practices such as corporate evaluation, monitoring, and sales support. Furthermore, by combining the practical knowledge and financial data cultivated through the collaboration between Resona Group and BrainPad with Fujitsu's data & AI technologies, offerings from the 'Uvance' business model addressing social issues, and diverse external data such as commercial distribution and supply chains, we will transform decision-making and value creation processes in operations. This will provide value to regional financial institutions and support the sustainable growth of regional economies.
Details of the Collaboration
1. Transformation of financial practices within the Resona Group through the use of AI agents
The three companies will accelerate the materialization and verification of practical data utilization and the integration of AI agents into operations within the Resona Group. With the following use case proposals in mind, we aim to maximize the value provided by financial services.
- Business support that leads to advanced decision-making by utilizing AI agents that autonomously collect data and offer suggestions, thereby improving the quality and quantity of customer understanding, proposals, and judgments by sales representatives.
- Transformation of business processes that over-rely on human experience and judgment, through demonstrations of AI agents that autonomously judge and act in response to business changes and collaboration with various AI agents.
2. Expansion of practical models to regional financial institutions
To deploy the knowledge cultivated within the Resona Group to regional financial institutions, we will develop and advance 'Data Ignition', optimize operation and connection methods suited for financial business flows, and consider new business models.
3. Contribution to regional economic development through the expansion of financial data
By linking the knowledge cultivated through past initiatives with external data such as commercial distribution and supply chains, we will explore the potential of financial data utilization to create new value and contribute to the sustainable development of regional economies.
- Creating new transaction opportunities and financial services based on inter-company transactional relationships and changes in the business environment.
- Pursuing ideal data linkage to expand the transaction circulation volume of regional economies and revitalize industries.
- Exploring the possibility of value-return models for entire regions, building ecosystems, and collaborating with local governments.
Roles of Each Company
- Resona Holdings
Provides actual financial operations as a demonstration and early utilization field, playing a central role in verifying the effectiveness and business suitability of data and AI utilization through practical knowledge and feedback from the frontline.
- BrainPad
Sets issues and builds hypotheses in line with financial practices, playing a role in supporting the effective utilization of AI agents on the frontline by deriving insights through analysis using data science.
- Fujitsu
Cross-sectionally integrates diverse data to create new value
*Depending on the specifications of the publication media or viewing environment, the character '隆' (Tokita) may not display correctly. The correct character has a '一' (one) over '生' (life) in '隆'.
Purpose of the Collaboration
Amidst growing uncertainty surrounding corporate management due to fluctuations in commercial distribution, disasters, and supply chain disruptions, financial institutions are required to provide more sophisticated corporate support, screening, and monitoring operations. Resona Group and BrainPad have previously promoted the utilization of data and AI in financial practices, starting with data to advance Resona Group's operations and providing the business support AI software 'Data Ignition' (Note 1) for regional financial institutions. By adding Fujitsu, which possesses high technological capabilities and abundant knowledge of social implementation in the data and AI domains, to this collaboration, we aim to co-create next-generation data and AI utilization models with an eye toward expansion into regional and other industries, going beyond just creating use cases in financial practices.
Driving sustainable growth of regional economies through the co-creation of data and AI
In this collaboration, Resona Group's actual business operations will be positioned as a field for demonstration and early utilization, creating various use cases that lead to the advancement of business processes in financial practices such as corporate evaluation, monitoring, and sales support. Furthermore, by combining the practical knowledge and financial data cultivated through the collaboration between Resona Group and BrainPad with Fujitsu's data & AI technologies, offerings from the 'Uvance' business model addressing social issues, and diverse external data such as commercial distribution and supply chains, we will transform decision-making and value creation processes in operations. This will provide value to regional financial institutions and support the sustainable growth of regional economies.
Details of the Collaboration
1. Transformation of financial practices within the Resona Group through the use of AI agents
The three companies will accelerate the materialization and verification of practical data utilization and the integration of AI agents into operations within the Resona Group. With the following use case proposals in mind, we aim to maximize the value provided by financial services.
- Business support that leads to advanced decision-making by utilizing AI agents that autonomously collect data and offer suggestions, thereby improving the quality and quantity of customer understanding, proposals, and judgments by sales representatives.
- Transformation of business processes that over-rely on human experience and judgment, through demonstrations of AI agents that autonomously judge and act in response to business changes and collaboration with various AI agents.
2. Expansion of practical models to regional financial institutions
To deploy the knowledge cultivated within the Resona Group to regional financial institutions, we will develop and advance 'Data Ignition', optimize operation and connection methods suited for financial business flows, and consider new business models.
3. Contribution to regional economic development through the expansion of financial data
By linking the knowledge cultivated through past initiatives with external data such as commercial distribution and supply chains, we will explore the potential of financial data utilization to create new value and contribute to the sustainable development of regional economies.
- Creating new transaction opportunities and financial services based on inter-company transactional relationships and changes in the business environment.
- Pursuing ideal data linkage to expand the transaction circulation volume of regional economies and revitalize industries.
- Exploring the possibility of value-return models for entire regions, building ecosystems, and collaborating with local governments.
Roles of Each Company
- Resona Holdings
Provides actual financial operations as a demonstration and early utilization field, playing a central role in verifying the effectiveness and business suitability of data and AI utilization through practical knowledge and feedback from the frontline.
- BrainPad
Sets issues and builds hypotheses in line with financial practices, playing a role in supporting the effective utilization of AI agents on the frontline by deriving insights through analysis using data science.
- Fujitsu
Cross-sectionally integrates diverse data to create new value