Over the years, one of the most rewarding aspects of working in presales has been the opportunity to review hundreds of asset-based lending structures. Every lender approaches risk differently. Every borrower has a unique collateral profile. Every credit agreement reflects a different balance between flexibility and control. Yet despite those differences, one lesson continues to stand out: the challenge is rarely the complexity of the deal itself. The challenge is faithfully translating that complexity into an operating model that lenders can trust every day.
A credit agreement may look precise on paper. Eligible receivables are defined. Inventory caps are documented. Reserves, concentration limits, and advance rates are clearly specified. After the deal closes, however, lenders need confidence that those policies are being applied consistently as collateral changes, funding occurs, and the borrowing base evolves.
Recently, we worked with a prospective client to demonstrate how a particularly complex syndicated ABL facility could be represented within the Solifi platform. What made the opportunity interesting wasn’t that the structure was unusual; it was that it reflected the kinds of real-world complexity many lenders manage every day.
The facility included multiple collateral pools, different advance rates, eligibility rules, concentration limits, inventory lending caps, borrowing base reserves, a revolving line, a term loan, and multiple lending participants. Individually, none of these components is extraordinary. Together, they create an operating model that demands precision, consistency, and transparency.
Rather than beginning with software screens, we began with the lender’s business objectives. We reviewed the credit agreement, the Borrowing Base Certificate, and the supporting collateral schedules to understand the reasoning behind every lending rule. Questions such as ‘Why is this collateral treated differently?’, ‘How should reserves affect availability?’ and ‘How does the term loan interact with the revolver?’ shaped the conversation long before configuration was discussed.
One lesson these engagements consistently reinforce is that success isn’t determined by how quickly a platform can be configured. Success is determined by how accurately a lender’s intent can be translated into repeatable operating logic. When that happens, the borrowing base becomes the outcome of a well-defined credit policy rather than a collection of manual calculations and institutional knowledge.
Producing the correct availability is only part of the equation. Experienced lenders also need to understand why the number is what it is. Every reserve, advance rate, ineligible amount, and concentration limit should be traceable back to an approved lending policy. Explainability builds confidence just as much as accuracy.
As part of the demonstration, we continually validated the platform’s calculations against the client’s Borrowing Base Certificate. When differences appeared, the objective was not simply to reconcile numbers. The discussion focused on understanding the policy driving each variance. Once the intent was understood, it became clear how the platform could consistently represent that policy.
The real value of an ABL platform is demonstrated long after implementation. Availability changes continuously as receivables are collected, inventory fluctuates, reserves are adjusted, and advances are funded. Technology should consistently apply lending policy throughout the life of the facility while maintaining transparency and a complete audit trail.
The borrowing base is also only one part of the broader operating environment. It influences funding, borrower servicing, collateral monitoring, participant management, reporting, portfolio oversight, and ongoing risk management. The strongest platforms connect those activities rather than forcing lenders to rely on spreadsheets and disconnected processes.
One of Solifi’s strengths is its ability to configure the platform around each lender’s policies while remaining within a standardized, supportable framework. That gives lenders the flexibility to support sophisticated structures without sacrificing maintainability or future upgrades.
The objective is not to automate lending decisions. Credit professionals will always provide judgment. The objective is to automate the consistent application of lending policy so those professionals can spend their time evaluating borrower performance, collateral quality, and emerging risks instead of recreating calculations.
If there’s one lesson I’ve taken away from working with lenders across so many opportunities, it’s this: complex lending structures are no longer the exception. Institutions that can consistently translate credit policy into daily operational execution will be best positioned to grow without adding unnecessary operational complexity.
In today’s ABL market, the borrowing base is more than a calculation. It is where credit policy becomes operational reality. Ultimately, the borrowing base is only as strong as the system behind it.
In Closing
Working with lenders across hundreds of ABL opportunities has reinforced one simple idea: the best platforms don’t replace lender judgment – they reinforce it by consistently applying lending policy. In today’s market, operational discipline is becoming just as important as access to capital.