Boubyan Outlines Strategy for Transformation into an AI-Backed Banking Institution

Boubyan Bank outlined its strategy to transform into an AI-driven banking institution during the “AI Town Hall” meeting, which brought together executive management and several department heads. The discussion focused on priorities for moving from vision to execution, building the necessary capabilities to expand AI applications, and enhancing the bank’s role in developing customer experiences, empowering teams, and supporting high-quality sustainable growth.

Presenting the strategic pillars were Adel Al-Majid, Vice Chairman and Group CEO; Abdullah Al-Tuwaijri, CEO of Personal, Private, and Digital Banking; and Abdullah Al-Nasif, Head of the AI and Data Group. They discussed ways to align the deployment of these technologies with business needs, leveraging them to develop work methods, improve operational efficiency, and accelerate execution.

The meeting also featured a exchange of views and insights with several department heads regarding priority areas and application opportunities across the bank’s various operations, contributing to a shared understanding of implementation requirements and identifying pathways that align with practical needs and upcoming priorities.

Commenting on this initiative, Al-Nasif stated that the bank’s strategy is grounded in an integrated institutional vision aimed at embedding AI into customer experiences, developing work methods, empowering teams, and harnessing its advanced capabilities to enable new features that support innovation in the business model.

He added, “At Boubyan, we treat AI as an institutional capability whose impact extends to various aspects of the business, supporting service quality, operational efficiency, and decision-making capacity. Achieving the targeted value relies on the integration of three interconnected pillars: technology, human resources, and processes, ensuring that technical solutions are matched with the necessary capabilities for their use, and that work methods are redesigned to leverage them practically.”

He continued, “The current phase is based on implementing the transformation vision previously launched by the bank. In the previous stage, we identified the foundations of transformation and governance frameworks, as well as the future roadmap for developing the digital assistant’s capabilities—Msa3ed. Today, we are expanding this vision into broader institutional execution by building capabilities, developing use cases, measuring realized value, and enhancing the role of teams in deploying AI across various business areas.”

Al-Nasif noted that the bank has adopted a suite of enterprise AI tools provided by major global technology companies, alongside internally developed solutions and tools within secure frameworks, ensuring closer alignment with the bank’s needs and operational requirements.

He added, “These foundations include developing a call center based on intelligent agents that support departments and contribute to automating internal processes, enabling human resources to direct their expertise toward tasks requiring analysis, knowledge, and decision-making. This also enhances proactive risk management and fraud prevention, alongside developing the Boubyan AI Academy through learning paths linked to job roles and team needs, redesigning action plans, and monitoring usage levels, thereby strengthening practical knowledge of these technologies and raising readiness for their effective and responsible use.”

He highlighted the role of the Innovation Center in developing use cases, monitoring their outcomes, and periodically showcasing the resulting value, thereby enabling the evaluation and refinement of these initiatives before scaling them up. This approach supports directing investments toward areas with the greatest impact on the bank’s operations, emphasizing that the success of AI applications is measured by their ability to deliver tangible improvements in customer experience, operational efficiency, and output quality.

He added, “We are linking use cases to clear objectives and tracking their adoption levels and the value they generate, which helps us refine these applications and make scaling decisions based on measurable results.”

He stressed that the expansion of AI usage operates within a comprehensive framework of governance, risk management, and data protection, ensuring the safe and responsible use of these technologies while maintaining a balance between accelerating innovation and meeting corporate compliance requirements. Use cases also extend to enhancing proactive risk management and fraud prevention, leveraging data to support decision-making and improve performance quality.

He stated, “Our ambition is to build a smarter, more agile business model where technical capabilities integrate with team expertise, doubling productivity. This will translate into faster response times, higher service quality, and the ability to develop solutions tailored to customer needs. Achieving this ambition depends on our collective success in translating strategy into scalable, practical practices, which will support future stages of investment and growth.”

Al-Nasif affirmed that building an AI-enabled financial institution requires clear roles and controls, continuous review of outcomes, and the capacity to measure impact and manage associated risks. Through this approach, the bank enhances its readiness to keep pace with rapid transformations in the financial sector, laying a foundation for measured expansion and sustainable value creation for customers, employees, and shareholders.