AI-Driven Digital Financial Inclusion Model: Enhancing Trust, Reducing Perceived Risk, and Accelerating FinTech Adoption in Pakistan

The AI-Driven Digital Financial Inclusion Model examines how artificial intelligence can support wider and more sustained adoption of digital financial services in Pakistan by addressing key behavioural barriers such as trust, perceived risk, and confidence in FinTech platforms. Pakistan’s digital payment ecosystem is expanding rapidly; the State Bank of Pakistan reported that more than 88% of retail-payment transactions were conducted through digital channels in FY2024–25, reflecting the increasing importance of digital finance in the national economy.

The project focuses on developing a data-driven AI framework capable of identifying patterns associated with FinTech adoption and financial exclusion. By integrating behavioural, demographic, socio-economic, and technology-related factors, the model can help identify which users are more likely to adopt digital financial services and which groups remain constrained by risk perceptions, limited trust, or digital-access barriers. This direction is aligned with the State Bank of Pakistan’s National Financial Inclusion Strategy 2024–28, which targets an increase in financial inclusion to 75% by 2028 while emphasizing digital innovation, customer protection, financial literacy, and stronger data-driven decision-making.

The project has strong practical relevance for banks, FinTech companies, regulators, policymakers, and underserved communities by supporting the design of more personalized, secure, trusted, and inclusive digital financial services. Evidence from the World Bank Global Findex and GSMA Mobile Gender Gap reports also shows that trust, digital access, gender disparities, and confidence in financial technologies remain important barriers to inclusion. By combining AI-based insights with trust-building and risk-reduction strategies, the project can contribute to responsible FinTech expansion and a more inclusive digital financial ecosystem in Pakistan.