For decades, banking was a relatively straightforward business. Financial institutions competed on capital, branch networks, interest rates, and customer relationships. The bank with the largest deposit base and the strongest lending portfolio often enjoyed a significant competitive advantage.
In Kenya, where mobile money transformed how people send and receive money, the next financial revolution is not about payments, it is about intelligence. Specifically, it is about who can best understand customer behaviour through data and convert those insights into faster, smarter and more responsible lending decisions. That is the central message emerging from Visa Consulting & Analytics’ (VCA) latest whitepaper, Winning Kenya’s Next Unsecured Credit Wave: Closing the Underwriting Gap Between Digital and Traditional Bank Lending.
While presented as a study on unsecured lending, the report carries a much broader implication: the future winners in banking will not necessarily be those with the biggest balance sheets, but those that make the best use of data. For Kenya’s banking industry, this is more than a technology upgrade. It represents a fundamental shift in how financial institutions compete.
It is no coincidence that Visa chose Kenya for this research. Over the past two decades, Kenya has built one of the world’s most advanced digital financial ecosystems. Mobile money, agency banking, digital savings platforms and mobile credit have become everyday tools for millions of people.
Financial inclusion has grown dramatically, and consumers have become accustomed to conducting nearly every financial transaction through their mobile phones. Visa estimates that approximately 18 million now have access to formal credit, making the country one of Africa’s largest and most sophisticated credit markets. According to the whitepaper, Kenya’s credit market has evolved into what it describes as a“Dual-track ecosystem.”
Traditional banks continue to dominate higher-value products such as mortgages, salary loans and personal loans, while digital lenders have built a commanding position in short-term, low-value lending through instant approvals, mobile-first customer experiences and automated credit decisions. Banks are launching digital products, while fintech companies continue moving into segments traditionally reserved for banks. The competition is no longer defined by who offers loans.
Nearly everyone does. The real question is who can make better lending decisions faster. One of the more interesting aspects of Visa’s report is that it does not portray traditional banks as losing the battle.
On the contrary, the report acknowledges that banks retain significant structural advantages. They have trusted brands, lower funding costs, long-standing customer relationships and broad product ecosystems. These strengths remain difficult for newer entrants to replicate.
The answer is surprisingly simple. Consumers increasingly value convenience as much as price. Applying for a traditional loan can still involve documentation, manual reviews and waiting periods.
Digital lenders, by contrast, have built customer journeys that mirror the speed of modern digital life. Applications are completed on a smartphone, decisions are made almost instantly and funds are disbursed within minutes. This shift has changed customer expectations.
Consumers who can receive a loan in under two minutes are less willing to wait several days simply because a bank offers a lower interest rate or a larger loan amount. Perhaps the most significant insight in Visa’s whitepaper is not about lending at all. It is about data.
Traditional banks possess enormous volumes of customer information. Salary deposits, account balances, card transactions, savings history and loan repayments all pass through banking systems. Yet Visa argues that much of this information remains fragmented across different systems and is only partially integrated into underwriting decisions.
Digital lenders approach the problem differently. Rather than relying primarily on historical credit records, they increasingly analyse real-time behavioural signals. Transaction patterns, repayment habits and other alternative data points provide a more dynamic picture of a customer’s financial behaviour.
The difference may appear technical, but its implications are profound. Traditional underwriting often questions,“Who has this customer been?” That subtle distinction represents one of the biggest shifts occurring in financial services today.
Ironically, banks may know less about customer behaviour today than they did ten years ago. Consider a typical Kenyan consumer. Their salary may still be deposited into a bank account.
Within minutes, however, much of that money moves elsewhere. The customer’s financial life has become fragmented across multiple ecosystems. Banks still hold deposits, but they no longer observe every transaction.
This fragmentation has created an information gap that digital-first lenders have exploited remarkably well. Visa’s repeated emphasis on expanding data sources reflects this reality. Banks need richer, more current insights into customer behaviour if they hope to compete effectively in unsecured lending.
Interestingly, the report rarely promotes artificial intelligence explicitly. Instead, it speaks the language of machine learning, advanced analytics, predictive models and automated decision engines. Collectively, these are AI technologies.
Rather than presenting AI as a futuristic concept, Visa positions it as an operational necessity. The report recommends that banks move beyond traditional scorecards and adopt advanced analytical models capable of incorporating recent customer behaviour alongside alternative data sources. These approaches improve risk assessment, particularly for customers with limited formal credit histories.
In doing so, Visa discloses something important about its own evolution. For decades, Visa was primarily recognised as a payments network. Today, it increasingly presents itself as a provider of data intelligence, analytics and strategic consulting.
The company’s competitive advantage no longer rests solely on facilitating payments. It lies in the insights generated from one of the world’s largest payment networks. There is a temptation to conclude that faster lending automatically produces better outcomes.
Visa’s report wisely avoids making that assumption. Kenya’s credit market has experienced periods of rapid expansion alongside rising default rates, regulatory intervention and concerns about over-indebtedness. The challenge therefore is not simply approving more loans.
It is approving the right loans. This is why the report places equal emphasis on improved underwriting and responsible risk management. Automation without strong analytics merely accelerates poor decisions.
Conversely, sophisticated risk models combined with high-quality data enable lenders to expand access while maintaining portfolio quality. In many respects, the future of lending will depend less on the quantity of credit issued than on the quality of the decisions behind it. Visa identifies three priorities that banks should pursue if they are to remain competitive.
Taken together, these recommendations amount to a blueprint for the modern digital bank. Like any industry report, Visa’s whitepaper has a specific purpose. It identifies challenges facing banks while highlighting areas where Visa Consulting & Analytics can assist through advisory services and data-driven solutions.
That commercial context is important. The report is not intended to examine every dimension of Kenya’s lending landscape. As a result, several important questions remain.
These issues will increasingly shape public trust in digital lending and Technology alone cannot answer them. Despite these unanswered questions, Visa’s central argument is compelling. The report suggests that Kenya’s banking industry is approaching an inflection point.
The institutions that continue relying on fragmented data, manual underwriting and legacy processes risk becoming less relevant in the fastest-growing segments of the credit market. Those willing to invest in integrated data platforms, modern analytics and intelligent automation have an opportunity to strengthen customer relationships while expanding access to responsible credit. Importantly, this transformation does not require banks to abandon their traditional strengths.
But these strengths are no longer sufficient on their own, they must be enhanced by intelligence. Perhaps the greatest significance of Visa’s report lies beyond banking. Kenya has spent two decades expanding financial inclusion by connecting more people to formal financial services.
The next phase of inclusion may depend on something different. Not simply whether people can access credit. , but whether financial institutions can understand customers well enough to provide the right credit at the right time and on appropriate terms.
That future will be built not only on digital infrastructure, but on responsible use of data, predictive analytics and trusted decision-making. In many ways, Kenya has already transformed how the world thinks about digital payments. Visa’s latest whitepaper suggests the country may now be entering another defining chapter, one where the real competitive advantage is no longer measured by the amount of money a bank controls, but by how intelligently it uses information.
The banks that recognise this shift early will not simply make faster lending decisions, they will shape the next generation of financial services in Kenya. And in an economy increasingly driven by digital behaviour, that may prove to be the most valuable asset of all.