Artificial Intelligence in Personalizing Islamic Financial Products for Customers
Artificial Intelligence in Personalizing Islamic Financial Products for Customers
With the rapid development of artificial intelligence technologies, product personalization has become one of the most important practices that enhance customer experience and improve decision-making efficiency in financial institutions. In the Islamic finance context, the importance of leveraging AI in a manner that complies with Shariah rules and objectives becomes even more critical, supporting responsible innovation and achieving a balance between customer needs and regulatory as well as Shariah compliance requirements.
This program aims to equip participants with the knowledge and skills to utilize AI in designing customized Islamic financing and investment products that align with Shariah standards and the regulatory framework in the Saudi market.
To enable participants to understand how artificial intelligence can be applied to personalize Islamic financial products (financing/investment) in a way that meets customer needs while ensuring adherence to Shariah guidelines, governance, privacy, and transparency requirements in the Saudi financial environment.
By the end of the program, participants will be able to:
Explain the concept of product personalization in Islamic finance compared with the conventional approach.
Identify customer data sources (behavioral – transactional – demographic) and understand how they can be used in personalization.
Distinguish between segmentation applications and Shariah-compliant robo-advisors in personalized finance.
Align Islamic contract structures (Murabaha – Ijarah – Musharakah) with individual customer risk profiles and preferences.
Discuss Shariah compliance requirements in personalization, including avoiding gharar and riba and achieving Shariah objectives.
Understand privacy, governance, transparency, and explainability considerations for AI-driven decisions.
Introduction to personalization and its importance.
Differences between Islamic and conventional personalization.
Shariah considerations and compliance requirements in product personalization.
Types of data and their role in product personalization.
Segment characteristics and identifying customer needs.
Responsible data usage methodologies.
Rule-based and insight-driven personalization methodologies.
Islamic robo-advisors: mechanisms and compliance requirements.
Models for Shariah-compliant product recommendations.
Personalization of Murabaha, Ijarah, and Musharakah financing.
Personalization of Shariah-compliant investment portfolios.
Practical cases from banks in the Kingdom of Saudi Arabia.
Privacy principles and regulatory compliance according to SAMA guidelines.
AI decision explainability and its impact on the customer experience.
Developing institutional policies for responsible personalization.
Product management and financing teams in Islamic banks and financial institutions.
Shariah compliance, governance, and risk management professionals.
Customer experience (CX) and loyalty analysts in the financial sector.
FinTech professionals, especially those working in robo-advisory solutions.
Researchers and postgraduate students in Islamic finance and financial AI.
