This workshop equips participants with practical skills to design inclusive AI-enabled FinTech solutions by combining foundational finance knowledge, applied AI and data analysis, user-centered design, and hands-on prototyping to address financial exclusion and low financial literacy.
This workshop equips participants with practical skills to design FinTech solutions that address financial exclusion and low financial literacy. Participants learn foundational finance knowledge with applied artificial intelligence (AI) concepts and machine learning in financial services, and introductory data analysis techniques relevant to real-world decision-making. They also gain structured methods for identifying user needs, assessing financial problems, and translating these insights into feasible digital solution concepts.
The workshop introduces essential principles of personal finance including budgeting, saving, investing, and risk–return tradeoffs using real-world examples tailored to non-expert audiences. Participants are exposed to core applications of AI and machine learning in financial services, such as credit scoring, fraud detection, robo-advisory systems, and personalized financial planning. The workshop provides an introduction to basic data analysis techniques relevant to financial decision-making, enabling participants to interpret simple financial datasets, identify patterns and trends, and recognize potential risk scenarios. Emphasis is placed on translating data insights into actionable and ethical financial solutions.
The workshop focuses on designing Fintech solutions for underserved groups, including individuals with disabilities, older adults, migrants, Gen Z, and those with limited digital or financial literacy. Through a combination of short lectures, case studies, guided exercises, and collaborative teamwork, participants practice problem framing, user-persona development, prototyping, and solution pitching. Excursions to FinTech startups or innovation labs expose participants to real industry practices and responsible AI workflows.
By the end of the workshop, each team produces a clearly defined financial problem statement, a concept-level AI-enabled FinTech solution, and a visual storyboard or mock-up demonstrating core functionality. The workshop delivers concrete, transferable skills relevant to digital literacy, financial inclusion, AI-enabled finance, and innovative problem-solving.