Reinforce FUTURE-READY RESILIENCE

Innovation

KBank is committed to fostering an innovation-driven organizational culture by supporting the development and sourcing of appropriate innovations from both within and outside the Bank, alongside enhancing employees’ technological skills. These efforts aim to elevate operational processes and develop financial products and services that better meet customer needs, improve operational efficiency, and strengthen KBank’s competitiveness, while also contributing to broader economic and social resilience.

Innovation Development Strategy and Approach

The Bank has clearly defined a strategic direction to elevate its “customer-centric” approach in alignment with the Customer Lifecycle and the diverse business contexts of each customer segment. The Bank has shifted its role from a financial service provider to a “financial partner” that understands customers’ needs in a holistic manner, grounded in systematically collected and analyzed data insights. This approach has led to the development of integrated services that combine financial products, strategic advisory, and digital support to deliver a seamless, convenient, and consistent financial experience across all channels, covering retail customers, SMEs, and large corporate clients.

To support this direction, the Bank has positioned Artificial Intelligence (AI) as a new organizational infrastructure, guided by principles of good governance, transparency, and customer data security. AI is embedded across service design, risk management, and operational efficiency enhancement. The Bank also focuses on innovation that builds upon its core banking business and generates new sustainable revenue streams through four key innovation pillars:

Financial Innovation
Enhancing personal financial management for retail customers and strengthening business capabilities.
Future of Finance
Developing tokenization solutions and integrating them with banking systems in collaboration with the public sector.
Ecosystem-driven Innovation (Uplift Banking)
Creating new revenue opportunities through lending and fee-based models.
Sustainability
Accelerating ESG transition support for Thai entrepreneurs to strengthen long-term competitiveness of customers and the country.

In parallel, the Bank is accelerating the application of AI across core products and services, as well as internal processes particularly in risk management, including advanced credit analytics, real-time decision-making, early warning systems, and loan portfolio monitoring to enhance asset quality. In terms of operational efficiency, the Bank is restructuring its cost base and upgrading processes from back-end to front-end through automation, advanced data analytics, and digital platform development. The Bank is also preparing for emerging technologies while investing in and collaborating with strategic ecosystem partners to explore advanced technologies and enhance long-term business capabilities.

Financial Innovation Development

KBank has established a Product Management Framework and Product Management Procedure to guide comprehensive product management across all key stages of the product life cycle. This approach focuses on addressing the needs of all key stakeholders and ensures that the development and enhancement of financial products are carried out efficiently, promptly, and in alignment with customer needs.

Financial Product and Service Innovation

KBank aims to continuously enhance service efficiency and improve the customer experience through the integration of technology, innovation, and collaboration with partners. This enables the delivery of financial services that are more convenient, secure, and accessible, while supporting the growth of both individual customers and entrepreneurs. Key progress achieved over the past year includes the following:

Service Innovation
KBank has leveraged digital technologies to enhance service delivery, making it faster, more convenient, and more secure, through the following initiatives:
- Development of new features for core systems to elevate the user experience.
- Application of automation and AI in service processes, such as real-time data verification systems and automated alert mechanisms.
- Integration of services across KBank’s platforms and partner platforms, such as K SHOP and services on other applications, to deliver a seamless service experience.
Process Innovation
KBank has enhanced operational processes and service support systems by simplifying workflows while Improving accuracy, security, and transparency through the following initiatives:
- Redesigning processes to shorten turnaround times and enhance customer convenience in conducting transactions.
- Developing automated systems to support transaction verification, such as automated checks for international funds transfers.
- Utilizing data analytics and dashboards to monitor service quality, support decision-making, and improve overall operational efficiency.
Collaborative Business Model Innovation
KBank promotes collaboration with partners across multiple industries to develop financial service models that address customer needs and support the sustainable growth of small entrepreneurs. Key initiatives include:
- Developing solutions for SMEs and retail merchants to enhance business capabilities and improve access to financial services.
- Creating new service models that respond to digital-era consumer behavior while expanding access to financial services for a broader customer base.

AI Management

In an era where AI plays a critical role in the financial system from credit underwriting and risk management to customer data analytics and fraud detection KBank recognizes the importance of careful AI management under a sustainable development and good governance framework, in order to strike a balance between financial innovation and societal trust.

KBank has established an AI governance and risk management framework based on Responsible AI Principles, ensuring that AI is developed and applied responsibly within acceptable risk levels. This framework is aligned with applicable laws, regulatory requirements, and international standards, and places strong emphasis on human-centricity, social responsibility, and sustainability. The framework is guided by the following six principles:
1. Reliable outcomes
2. Ethical and lawful use
3. Safety and security
4. Accountability and explainability of outcomes
5. Respect for privacy
6. Fairness and freedom from bias
The governance structure and roles and responsibilities of relevant units for AI governance and risk management have been defined under the Three Lines of Defense model.
AI governance policies and processes have been established, covering the entire AI life cycle, along with maintaining an AI Portfolio, to ensure that AI development and usage are safe, transparent, aligned with KBank’s governance framework, and subject to effective monitoring, review, and risk control.
Materiality levels for AI development and application have been defined, based on use cases and potential adverse impacts, together with corresponding risk assessment and risk management measures.
AI governance and risk management have been set up throughout the entire AI life cycle, including the following:
- Assessment of AI performance to ensure it operates as intended and complies with Responsible AI principles
- Risk management within acceptable limits, including compliance with KBank’s security policies and standards
- Clarification of the source of AI across three categories: Build – internally developed and built AI; Blend – AI tools acquired and customized to align with project objectives; and Buy – AI tools acquired and used without modification
- Ongoing monitoring of AI performance to ensure continued effectiveness
AI usage guidelines have been established for employees and developers to ensure business value creation without introducing risks to KBank. These guidelines cover Generative AI, Agentic AI, and Predictive AI.
KBank promotes an organizational culture with strong AI knowledge and skills through the People Capabilities & AI Literacy Program, by providing AI literacy initiatives for all employees, together with structured programs to develop standardized and ethical AI usage and development skills. These efforts are supported by assessment frameworks and readiness levels to further develop and scale employee capabilities, while also raising awareness of safe data usage and customer-centric decision-making (Customer-centric AI).
AI governance and audit units are in place to set standards for assurance and audit, including the measurement, assessment, and communication of the trustworthiness, security, and transparency of AI systems in alignment with responsible AI principles. This oversight covers the entire AI lifecycle – from development and deployment to ongoing monitoring – and applies risk-appropriate techniques such as risk assessments, bias testing, compliance reviews, and certification against international standards.