The case for smarter loan operations in a stressed market

Over the past decade, the direct lending industry has experienced sustained and impressive growth. Despite headwinds like rising interest rates, inflation, and ongoing geopolitical uncertainty, private credit has continued to draw significant investor capital. This momentum has been fueled by strong portfolio valuations and reliable income generation, which have helped expand assets under management (AUM) across the sector.

But beneath these headline figures lies a growing vulnerability: outdated loan operations. While investors and fund managers often focus on underwriting and capital deployment, the systems and workflows supporting loan administration are increasingly under strain. In many cases, they’re a bottleneck to growth as market volatility returns once again.

A complex landscape meets aging infrastructure

The macroeconomic backdrop for private credit has become significantly more challenging in 2025. After a period of relative calm, the escalation of U.S. trade tariffs, persistent inflation and high interest rates has reignited volatility across credit markets. Borrowers exposed to global supply chains and trade-sensitive industries—such as manufacturing, retail, and technology infrastructure—have had their margins squeezed by rising input costs and supply disruptions.

Lenders and borrowers alike are grappling with shifting cost structures and tighter capital markets. Earlier this year, the leveraged loan market experienced one of its most volatile periods since the pandemic, with secondary market prices sliding and institutional loan issuance stalling. Today, banks are increasingly relying on private lenders to fill financing gaps as public credit investors balk at new risk.

Amid these pressures, borrowers are struggling to maintain stable cash flows. Earlier this year, the International Monetary Fund (IMF) warned that almost 50% of private credit borrowers were cash flow negative, up sharply from just 25% three years earlier. Amendments, restructurings, and payment-in-kind (PIK) elections were once used sparingly; now, they  are commonplace.

While these flexible deal terms have mitigated defaults and allowed lenders to support borrowers through temporary stress, they have dramatically increased the complexity of loan administration. Each amendment can alter payment schedules, interest rates, waterfall structures, and covenant terms. PIK interest might ease short-term cash burdens for borrowers, but it also adds layers of accounting and reporting complexity.

Recent data from the Loan Syndications and Trading Association (LSTA) highlights the fragility beneath the surface: Covenant default rates increased to 2.4% overall by the end of 2024, with smaller borrowers (less than $30 million in EBITDA) showing a default rate of 13.8%. The share of borrowers flagged for covenant or payment stress has also risen, particularly in consumer-facing sectors most exposed to tariff-related cost increases and weaker demand.

Operational inefficiency becomes portfolio risk

Most loan operations teams still rely on manual workflows built on Excel or legacy software that is ill-equipped to handle today's dynamic deal structures. Even managers at some of the larger private credit funds use spreadsheets to track amendments and PIK interest, increasing the risk of errors and slowing down critical decision-making.

These operational weaknesses are becoming more than just administrative headaches. Indeed, fund managers are postponing defaults and markdowns because their infrastructure cannot keep up with deal complexity and the velocity of change. In some portfolios, this has led to overstated valuations and misreported returns.

What’s more, market shifts have increased the risk of pricing and payment mismatches—particularly in portfolios where loan operations cannot accurately process amendments and updates in a timely manner.

When operational teams lack the tools to track amendments, calculate effective rates, and manage payment schedules in real time, the consequences extend beyond inefficiency. Errors in net asset value (NAV) calculations, payment distributions, or covenant compliance reporting can result in financial losses, regulatory breaches, and damaged investor trust.

Rula Urso, Director of Loan Operations at Kayne Anderson Capital Advisors, recently conducted a proprietary survey of loan ops professionals—70% of whom had more than three years of experience. The study found that manual workarounds and lack of standardization significantly lowered perceptions of data quality and system usability, leading to increased frustration and avoidance. 

“Experience doesn't insulate users from frustration," Urso cautions. "Even highly skilled professionals feel the drag of legacy systems that were never built for the pace or complexity of today's private credit environment.”

Technology lags behind market evolution

While private credit investment teams have embraced data-driven decision-making, the technology supporting loan operations has not kept up. Most loan management systems were built for syndicated loans or fund accounting; they were not designed for direct lending structures that often include unitranche deals, leverage-based pricing grids, participations, and dynamic amendments.

As deals evolve—whether through amendments, restructurings, or pricing changes—updates must often be entered manually across disconnected systems. Reporting typically involves consolidating data from multiple sources, which increases both the workload and the potential for human error.

This fragmented, manual approach is incompatible with today's fast-moving market. Lenders have to rapidly assess borrower amendments, adjust payment schedules, and respond to investor queries—all while maintaining accuracy and auditability.

An inflection point for private credit operations

The private credit industry stands at a critical juncture. Operational workflows that were sufficient five years ago now represent a significant risk. Market volatility, economic uncertainty, and borrower complexity are changing the internal dynamics of direct lenders.

As investor expectations rise and regulators increase their scrutiny of private credit, the cost of operational shortcomings will only grow. Forward-thinking firms are investing in integrated loan operations technology to automate administrative tasks and manage complex deal structures.

Beyond a desire for greater efficiency, this shift is about enabling scalability, improving accuracy, reducing risk, and ultimately safeguarding both fund performance and investor confidence in a more unpredictable and competitive market.

Long viewed as a back-office function, loan operations are now emerging as a strategic priority for direct lenders. As rising borrower stress begins to manifest in amended deal terms, restructurings, and evolving payment structures, loan ops teams must be equipped to adapt. A fund’s ability to manage these inevitable changes will depend heavily on whether their operational infrastructure can scale to meet the moment.