History has shown that knowledge is power. One place that could use the benefit of that knowledge is commercial credit.
Banks have been lending to businesses for 3,000 years and has yet to figure out the commercial credit process. But executives and directors have an opportunity to fix this problem using data and digital capabilities to make the process more efficient and faster, and become the lending legends of their institutions.
In 1300 B.C. Egypt, the credit process looked something like this: A seafaring trader would trade bronze bowls with a local bronze merchant for cloth and garments. But to make this transaction, the bronze merchant would need to borrow from multiple merchant lenders. This process required lenders to understand the business plans of the borrower, go “door to door,” have community knowledge and know the value of all those goods. There were a lot of moving pieces—and a great deal of time—involved for that one transaction.
Fast-forward to today. A lot has changed in 3,000 years, but the commercial credit process has actually gone backwards. It can take a lender 60 to 90 days and more than $10,000 per lead to identify potential leads—and that’s before they review the application. After a borrower applies, the lender must look up credit reports, collect and spread financial statements and decide on the terms and conditions. Finally, the application goes through the credit department, which can take another 30 to 45 days and cost $5,000 per application.
Lenders will have spent all that time and effort to process the loan—but may not end up with a new customer to show for it. Meanwhile, borrowers will have spent time and effort to apply and wait—and may not have a loan to show for it.
While this problem has persisted for 3,000 years, the good news is that executives and directors have an opportunity to fix the problem by turning their manual-lending process into a digital-lending one. This evolution entails three steps that transform the current process from weeks of work into days.
First, a bank would use a digital-lending portal to gather applicable demographics to identify prospective borrowers. In researching prospects, they see critical borrower information such as name, address, years in business, legal structure, taxpayer identification number, history, business description and management team. Rather than having to wait until later in the process to uncover this critical information, they can immediately identify whether to pursue this lead and quickly move on.
Second, a bank uses a credit-decision engine to gather and analyze the applicable borrower data. Not only can the engine pull in consumer and credit bureau information, but it can also include automated financial collection, credit score and industry data for comparison. The bank can use data from this tool to determine terms and conditions, credit structure, purpose of credit facility, pricing, relationship models and cross-sell strategies.
Third and finally, the bank’s credit policy and process integrate with its credit-decision engine to enable an automated review of a loan application. This would include compliance checks, terms and conditions and credit structure. Since the data gathering and analysis has already taken place and automatically factored into the decision, there is no need to review all those pieces, as would be required with a manual process.
These three steps of this digital lending process have distilled a weeks-long process into about five days. Executives and directors can not only grow their institution in a shortened time period; they can do so without adding any risk. A bank I worked with that had $250 million in assets was able to add $20 million in loan volume without taking on any additional risk.
By using knowledge to their advantage and implementing a digital lending solution, bankers can save not just time and costs, but their institutions as well as their communities. They can now spend their limited time and resources where they matter most: growing relationships along with their banks. Having fixed the 3,000-year-old credit problem, they can place those challenges firmly in the past and focus on their future.