How Lenders Respond to Rising Delinquencies

U.S. consumer delinquencies just hit their highest level in almost a decade. The New York Fed's latest Household Debt and Credit Report shows that 4.8% of all outstanding household debt is now in some stage of delinquency, the worst since 2017. The natural instinct is to treat this as a collections scaling problem. More delinquent accounts, more agents needed, bigger budget. But that misses the bigger picture. A lot of fintechs and lenders right now are in growth mode, with origination volumes climbing across most lending products and real competition for borrowers. They're focused on acquisition and performance. But the NY Fed data is telling us that more of those borrowers are going to end up in delinquency at some point during their lifecycle. In subprime, this has always been the reality. Borrowers dip in and out of collections. Someone 60 days late this quarter might be your best customer next year. But with delinquency rates climbing across the board, every lender needs to be ready for this dynamic, not just subprime specialists. Which means how you treat someone in collections directly impacts your growth story. Yes, it’s possible to use AI to grind through delinquent accounts cheaply at high volume. But what’s the true cost of this strategy? The real question is harder: how do you deliver a genuinely good customer experience even in delinquency, while decreasing charge-offs and driving down cost at the same time? That's a big ask - and AI can actually be a major enabler. If you can have high-quality, compliant virtual agents that can handle the majority of day-day collections outreach effectively, you can free up your human agent time to move the needle where it really matters. And AI can finally enable you to deliver truly personalized outreach, not just putting people in big buckets and hoping for the best. But doing this well requires deep domain expertise, compliance infrastructure, and a lot of iteration. You can't just throw generic AI at it and hope for the best. This is the problem we're obsessed with at Veritus.

There’s been a lot of recent discussion across the housing industry about rising early‑stage delinquency, particularly in certain segments of the market. It’s not a crisis, but it is a signal worth paying attention to. What stands out to me is that this pressure isn’t coming from one single issue like we have seen in the past. It’s a combination of higher rates sticking around longer, affordability still being tight in most markets, and borrowers who took out loans in a very different economic environment now having to adjust. None of that is surprising, but it does change how servicers need to think about the work ahead. The good news is that we’re not seeing this translate into the same downstream outcomes we’ve seen in past cycles. Loss mitigation tools are better, data is better, and we have far more insight into borrower behavior than we did even a few years ago. But expectations are higher as well. For servicers, technology, specifically AI, can’t stop at call deflection or OCR. The real opportunity is using it deeper in the operation: helping agents have better conversations, improving targeting and timing of outreach, supporting coaching and quality, and identifying patterns early before accounts deteriorate further. When borrower experience and operational efficiency are treated as the same conversation, both improve. At the same time, early‑stage stress is a reminder that more activity doesn’t equal better outcomes. Blanket outreach creates noise, while targeted outreach creates clarity. The borrowers who need help most often need the right option, presented clearly, as early as possible. Getting that right helps families stay in their homes, and it reduces unnecessary friction across servicing operations. There’s no single lever that solves affordability or borrower stress, but paying attention to early signals and responding thoughtfully matters. How the industry shows up in moments like this will shape outcomes for borrowers and communities alike. Where do you see AI adding real value in servicing beyond call deflection and OCR? #Mortgage #MortgageServicing #Leadership #HousingAffordability #HousingTechnology #AI #DigitalTransformation #CustomerExpereince

𝐑𝐢𝐬𝐢𝐧𝐠 𝐑𝐢𝐬𝐤 𝐢𝐧 𝐒𝐦𝐚𝐥𝐥-𝐓𝐢𝐜𝐤𝐞𝐭 𝐋𝐨𝐚𝐧𝐬 As a Virtual CFO in fintech and NBFCs, I am witnessing a growing demand for small-ticket personal loans under ₹10,000. However, a recent 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 𝐁𝐚𝐫𝐨𝐦𝐞𝐭𝐞𝐫 𝐫𝐞𝐩𝐨𝐫𝐭 reveals a 44% increase in delinquency rates for loans issued between Dec 2023 and June 2024, especially among borrowers from smaller cities and rural areas. While financial inclusion is the goal, the rising defaults highlight the need for a deeper look into risk management. Key Takeaways: 💡 Refine Risk Models: Thin-file borrowers, often with limited credit histories, present higher risks. Integrating alternative data (e.g., transaction history) is crucial for more accurate assessments. 💡 Track Borrower Intent: Subprime borrowers are more likely to use loans for consumption rather than asset-building. This increases default risks, especially in uncertain times. 💡 Regional Risk Matters: As 42% of loan volume comes from smaller towns, regional risks like local economic factors must be accounted for in your risk models. 𝐖𝐡𝐚𝐭 𝐍𝐞𝐱𝐭 : Use Alternative Data: Move beyond traditional credit scores to assess borrowers more accurately. Understand Borrower Use: Monitor whether loans are being used for consumption or investment to better predict repayment behavior. Segment by Region: Tailor your risk strategies to the unique conditions of smaller markets. How are you adjusting your lending strategies to balance growth and risk? #VirtualCFO #Fintech #NBFC #LoanDelinquency #FinancialInclusion #RiskManagement #DigitalLending #CreditRisk #AlternativeData #SME GenZCFO ® NBFC Advisor GenZPe

Iran conflict. Strait of Hormuz closed. Brent at $100+. Rupee bleeding. Every Indian lender should be war-gaming their collections playbook right now. Here's the domino effect no one in lending is talking about: 1. India imports 85% of its crude and 50% of that transits through the Strait of Hormuz. Fuel prices are already climbing. Inflation is following. Nomura just revised India's CPI forecast upward for FY27. This isn't a forecast anymore. It's happening. 2. Borrower surplus is shrinking, fast. When petrol, LPG, and food prices spike together, the EMI gets deprioritised. Retail. MSME. Two-wheeler loans. Home loans. Every segment will feel it. Expect delinquencies to creep and then spike. 3. The cost of collections is going up simultaneously. Field visits cost more when fuel is expensive. Telecalling costs more when agent attrition rises. The unit economics of traditional collections are about to get ugly right when you need to deploy more of it. 4. Real estate stress is coming. A weaker rupee + rate holds by RBI + inflation = buyers sitting on the fence. If property values correct, secured lending books take a hit on recovery rates too. 5. This will turbocharge AI-led collections in India. Every major disruption in India's credit history, Eg demonetisation, COVID accelerated tech adoption in collections. This will be no different. Probably faster. AI-powered diallers. Predictive delinquency models. Vernacular conversational bots for borrower outreach. These aren't pilots anymore. They are the answer to a cost-vs-volume squeeze that's coming at lenders from both sides. The lenders who've already built digital-first collections infrastructure will navigate this cycle with far less pain. The ones who haven't? The next 6 months will be a wake-up call. Are your collections operations ready for this? Drop your thoughts below 👇 #Lending #Collections #NBFC #IndianBanking #AIinFinance #CreditRisk #FinTech #IndiaEconomy

The CRE maturity wall is often portrayed as a looming trillion-dollar cliff, but the more accurate characterization is a prolonged workout cycle rather than an abrupt market event. With hundreds of billions in new loans adding to maturity levels every year, many borrowers continue to extend their timelines simply because the system allows it. Performance across these assets is uneven, and in many cases sponsors lack a definitive path forward. Yet even in these situations, lenders generally prefer not to recognize losses or assume direct ownership of the collateral. Their default posture is to extend, restructure, or employ blend-and-extend strategies to defer impairment. This institutional inclination materially reshapes the trajectory of the so-called maturity wall, transforming it from a single point of stress into a gradual, multi-year process. Commercial real estate operates without the regulatory forcing mechanisms that compel immediate loan resolution in other parts of the financial system. In this environment, lenders can extend maturities, modify terms, and sequence workouts across multiple years rather than crystallize losses all at once. If interest rates drift lower, refinancing feasibility improves at the margins and a larger share of assets becomes economically refinanceable. The counterpoint, of course, is that a meaningful rate decline often reflects broader economic weakness, which can reduce tenant demand and undermine property-level fundamentals. I expected that bank REO departments nationwide would be far more active by now, but it has become clear that most stakeholders recognize the consequences of simultaneous loan enforcement. Coordinated write-downs would create unnecessary systemic stress, so the market has instead moved toward gradual adjustments. The likely outcome is not a sharp dislocation but a slow, multi-year rebalancing in which assets are revalued and resolved over a 5- to 10-year window. Looking ahead, the composition of maturities should begin to change meaningfully around 2028, when loans originated in the higher-rate environment of 2023 start to come due. These loans were underwritten with more conservative leverage, higher debt yields, and more realistic exit assumptions. Going forward, a payoff on current maturities closer to historical norms coupled with continual reductions in the rollover maturities should lead maturity levels closer to the long-term average. Taken together, these dynamics point to a multi-year, incremental resolution process rather than a sudden systemic break. That is how I read the landscape, but curious to know how all of you see it!

One of the biggest mistakes in collections is treating every stressed borrower the same way. Not every delayed account is a recovery case. Many SME and commercial borrowers are simply going through temporary cash flow disruption. Delayed receivables. Slower customer payments. Working capital pressure. Supply chain delays. But traditional collections models often react with the same standard response: Higher pressure. Escalation. Legal notices. And that is where long-term customer value gets destroyed. Because a borrower facing a temporary liquidity mismatch today can still become a profitable relationship for the next 10 years. The stronger lenders are starting to approach this differently. Instead of asking: “How fast can we recover?” They are asking: “What is the best rehabilitation path for this customer while still protecting the balance sheet?” That shift matters. Industry studies have consistently shown that acquiring a new customer can cost multiple times more than retaining an existing one. And recent McKinsey findings suggest that more personalised and flexible recovery strategies can improve both customer satisfaction and recovery outcomes significantly. This is why bespoke rehabilitation solutions are becoming more important in collections strategy. Structured moratoriums. Cash flow-linked repayment plans. Temporary restructuring. Sector-specific repayment models. Not as exceptions. But as part of the operating framework. Because in many cases, the objective is not just recovering the overdue amount. It is preserving a viable customer relationship without weakening credit discipline. The collections institutions that balance firmness with judgement usually build stronger portfolios over time. #Collections #CustomerRetention #CreditRisk #NBFC #RiskManagement #BankingOperations