The FinTech Maturity Divide: Benchmarking AI Services, Open

Banking, and Embedded Finance Across Financial Service

Sectors

Davletov I. Rakhimberganovich1,* Dusmuratov R. Davlatbayevich2

1 Department of Accounting, Tashkent State University of Economics, Tashkent, Uzbekistan

2 Department of Economic analyses and audit, Tashkent State University of Economics, Tashkent, Uzbekistan

Received: January 19, 2024 Revised: March 14, 2024 Accepted: June 26, 2024 ⋆ Corresponding author

ABSTRACT

The global financial services industry is undergoing a structural transformation driven by the convergence of artificial

intelligence, open application programming interfaces, digital payment infrastructure, and embedded financial

services. Despite sustained investment activity, the empirical evidence base for comparing technology adoption

maturity across institutional types and capability domains remains fragmented, leaving executives and policymakers

without the benchmarking evidence needed for informed strategic investment decisions. This paper addresses that

gap through a systematic multi-dimensional maturity study drawing on primary survey data from financial industry

professionals across multiple countries and a consumer adoption survey of retail banking customers, covering

five technology dimensions: artificial intelligence services, open banking and application programming interface

ecosystems, digital payment infrastructure, embedded finance, and regulatory technology. Challenger banks and

FinTech startups substantially outperform traditional incumbent institutions on open banking and embedded finance,

while traditional institutions retain a relative advantage in regulatory technology compliance. Payment processors

dominate on digital payment maturity but show the widest capability gap in artificial intelligence and embedded

finance. Consumer adoption analysis reveals pronounced age-related disparities in buy-now-pay-later, cryptocurrency,

and robo-advisory services with direct implications for financial inclusion strategy. Regression analysis identifies

application programming interface readiness as the single strongest predictor of overall maturity, confirming that

foundational data architecture investment has compounding returns across all five technology domains. The paper

contributes a validated five-dimension maturity framework, a regression model of the institutional and strategic

predictors of overall FinTech maturity, and ten evidence-based strategic recommendations for executives navigating

the technology transformation of financial services.

Keywords: Financial technology FinTech maturity Artificial intelligence Open banking Embedded finance

Digital payments RegTech Challenger banks Financial innovation

1. INTRODUCTION

The financial services industry is experiencing a structural

transformation of a scale and pace not seen since the postwar

demutualisation of building societies and the advent of

electronic trading in the 1980s. The force driving this transformation

is not a single technology but a cluster of mutually

reinforcing digital capabilities: artificial intelligence capa-