How Technology is Allowing Lenders to Avoid Non-Performing Loans

Lenders have always faced a major challenge – making sure the loans they issue actually get paid back. After all, as a lender, you would not want to deal with a borrower who defaults. At the end of the day, you’re just left with a financial headache and a long legal battle to recover the money. 

Sadly, lenders in the US have to frequently struggle with such defaulters and non-performing loans. 

Of course, back in 2023, less than one percent of loans held by banks in the US were non-performing. A good sign, yes, but not good enough for lenders. After all, last year, it was reported that the total number of non-performing loans in the US was valued at $190.685 billion.

To assess how risky a borrower might be, banks and financial institutions relied heavily on credit scores in the past. They would also rely on manual evaluations as well as traditional financial statements. Today, technology is stepping in to make lending smarter, faster, and more accurate.

Here’s how modern technology is allowing lenders to spot and avoid potential non-performing loans.

Origination Intelligence for Smarter Loan Approvals

Origination intelligence refers to the use of AI and real-time data analytics to assess loan applications more accurately. According to Blooma, instead of relying solely on credit scores or outdated financial reports, origination intelligence uses AI that pulls data from multiple sources. This helps create a more complete picture of a borrower’s financial health, giving lenders an easier time to approve or deny loans. 

For borrowers, this means faster approvals and a more personalized loan offer. For lenders, it means a deeper understanding of who they are lending to, reducing the chances of approving risky loans. 

Origination intelligence for CRE – commercial real estate – lending is particularly gaining popularity in recent times. After all, 2025 is set to be a pivotal year of recovery in the CRE sector. Hence, there’s no room for non-performing or bad loans in this area. 

In commercial real estate, lending decisions require careful analysis of market conditions, borrower history, and asset performance. Loan origination in the CRE sector is now backed by sophisticated portfolio monitoring tools, ensuring lenders can track metrics that could impact loan performance. 

AI-Powered Risk Assessment

Risk assessment used to be a slow, manual process. Loan officers would dig through stacks of paperwork, analyze financial statements, and make decisions based on a combination of experience and intuition. But AI is now handling this task with incredible speed and accuracy.

By scanning vast amounts of financial data, AI algorithms can detect patterns that might be invisible to human analysts. For example, AI can spot inconsistencies in income reports, detect risky spending habits, or flag businesses that show early signs of financial trouble. 

These insights help lenders avoid granting loans to borrowers who may struggle with repayments down the road.

AI is also being used to update risk assessments in real time. Instead of evaluating a borrower only at the time of application, lenders can now continuously monitor financial activity. If a borrower starts missing payments on other obligations or shows signs of financial distress, lenders can take proactive steps before the situation worsens.

Alternative Data for Better Borrower Profiles

One of the biggest problems with traditional lending was its reliance on outdated credit scoring models. Many financially responsible people and businesses struggled to get loans simply because they didn’t have an extensive credit history. However, technology is changing that by incorporating alternative data into loan decisions.

Lenders can now look at factors like utility bill payments, rent history, and even social media activity to assess creditworthiness. 

A small business that has never taken out a loan before might not have a strong credit score. However, they might have sales data and payment history that shows consistency. This suggests that they may be a much safer bet than a company with a long borrowing history but declining revenue.

Automation in Loan Servicing

Even after a loan is issued, technology continues to play a role in reducing default rates. Automated loan servicing platforms now help lenders keep borrowers on track with their payments. These platforms send reminders, offer flexible repayment options, and even use AI-driven customer service to assist borrowers in real-time.

For instance, if a borrower misses a payment, an automated system can immediately reach out with personalized solutions. These solutions can include everything from adjusting the repayment schedule to offering financial counseling resources. Such a proactive approach prevents small issues from snowballing into full-blown defaults.

Technology is changing the way lenders operate, making the entire lending process more efficient and secure. As a result, lenders can now avoid many of the pitfalls that previously led to non-performing loans. Borrowers benefit from faster approvals and fairer evaluations, while lenders gain better insights and stronger financial protection.

As technology continues to evolve, the lending industry will only become more precise, reducing risk and ensuring that both borrowers and financial institutions thrive.