Key Lessons from Loan Automation Pilots
Digitization's Strategic Benefits in Financial Services
Wider Reach with Existing Resources
Tailored Products through Better Analytics
Strategic Advancements in Loan Automation: The MVP Approach
Scenarios for digital transformation steps
Incremental digitization of the existing operation.
Optimizing Digital Customer Onboarding for Lenders
Automating Paper-Based Loan Applications
Remote Customer Sign-ups and Onboarding:
Reduced Errors and Missing Documents:
Lightened Operational Workload:
Achieving Remarkable Progress Through Incremental Steps
The growing pressure on financial institutions to embrace digital transformation stems from the escalating demand for faster processes and user-friendly applications in the financial services sector. This transformation is particularly fueled by the burgeoning wave of digital lending practices.
Digital transformation in lending involves more than just replicating existing business rules and process flows digitally. It is a strategic approach that leverages digital technology to achieve specific, well-defined, and measurable goals aimed at improving customer satisfaction and business value. This implies that there are still sufficient opportunities to boost productivity and increase loan closures and revenue per loan by providing cheaper, faster, and automated services.
In this article, we have identified key principles and explored potential cases for successful digital implementation. We have synthesized these insights into practical recommendations that can guide financial organizations' digital transformation efforts.
Digitization's Strategic Benefits in Financial Services
The key to effective digitization efforts is to focus on well-defined, measurable objectives that prioritize both customer experiences and overall business value.
Wider Reach with Existing Resources
Digital channels provide an opportunity to broaden the customer base without having to hire more staff. This scalability is particularly useful for organizations that aim to serve a larger number of customers or expand their geographic reach.
Better Credit Decision-Making
Leveraging digital customer data empowers financial institutions to improve market research, customer segmentation, and product development. It also enables granular analysis of individual customers, facilitating more informed and effective credit decisions.
Tailored Products through Better Analytics
Improved data analytics can lead to the creation of more tailored financial products. Understanding customers' needs more comprehensively allows MFIs to develop offerings that provide clear value, benefiting both customers and the MFI's business prospects.
Operational Efficiency
High-touch models often struggle with productivity challenges, especially when compared to emerging tech-driven operations. To overcome this inefficiency hurdle, MFIs can explore digital solutions that streamline processes, such as agency banking, or technologies that reduce duplicative tasks for loan officers, such as paperless remote sign-up procedures.
Accelerated Delivery
Digital data proves invaluable in automating and expediting underwriting decisions. Swift, automated credit decisioning holds significance for both MFIs and customers alike, as it minimizes idle capital for MFIs and ensures customers gain access to credit more quickly.
Strategic Advancements in Loan Automation: The MVP Approach
In reality, the majority of lending processes, spanning from online applications and customer onboarding to processing, underwriting, and funding, have yet to undergo a complete technological transformation.
To illustrate this point, let's delve into a concrete example. Many financial institutions (FIs) express keen interest in automating loan origination. One viable option for these institutions involves partnering with a third-party firm to develop a comprehensive credit-scoring model, a decision engine, and a customer-facing application.
However, this route often comes with significant development costs, revenue-sharing agreements, and a protracted timeframe. In fact, it's not uncommon for this approach to necessitate 9 to 12 months to yield an initial version of the solution.
When it comes to revolutionizing loan processes through automation, there's an alternative approach that prioritizes significant improvements through incremental steps. Instead of the commonly held belief in rapid digitization, where technology reshapes an entire institution, we advocate for a more gradual process of building value-generating use cases. This approach often proceeds incrementally, requiring not just a bold investment in technology but also a bold vision, unwavering focus, and sustained consistency.
For instance, adopting a Software as a Service (SaaS) solution like Compassway proved instrumental in minimizing the technology buildout, reducing the risk of MFIs encountering challenges during project setup or encountering failures during the solution buildout phase. By adopting the SaaS solution, MFIs face fewer technical requirements, allowing them to dedicate more time and resources to activities such as product development., operationalization, and socialization efforts. It showcases how strategic advancements in loan automation can be achieved through careful planning, gradual implementation, and the utilization of innovative solutions like SaaS.
Scenarios for digital transformation steps
Besides those more immediate choices, we hypothesize there are three scenarios that are not mutually exclusive:
Incremental digitization of the existing operation.
There is no need to disrupt the entire loan origination process at once nor to expect the new software to automate 100% of a previously manual process. You should have a phased approach to reduce your project risk, taking an incremental, phased approach and gradually digitizing other parts of lending operations, for example, customer onboarding and loan applications.
