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What Lenders Actually Look for When Switching Software
I spend a lot of time talking to lenders who are either in the middle of a software evaluation, just coming out of a failed implementation, or quietly frustrated with a system they know they’ve outgrown. What I’ve found is that the questions they ask, and the things they care most about, are rarely what software vendors expect to hear.
They are not leading with feature checklists. They are not asking about integration libraries or API documentation on the first call. They are asking something more fundamental: can I trust this? And behind that question are three very specific signals they are looking for before they will move forward with anyone.
Trust Is the Real Procurement Criterion
The first thing lenders want — especially in the community development finance space — is a peer reference. Not a case study. Not a case study PDF or a marketing-vetted testimonial on a website. They want an actual conversation with someone at a partner organization who has been through the implementation and is now running on the platform day to day.
This matters more than any demo I have ever given. When a Head of Lending at a finance company can pick up the phone and call their counterpart at another lender and ask, candidly, what happened when something went wrong — that conversation is worth more than a hundred sales calls. It short-circuits skepticism in a way that marketing simply cannot.
The reason this is so powerful is that lenders have been burned. They have been through implementations that ran over budget, over schedule, or that delivered something that technically worked but operationally failed. They have learned that what a vendor promises in a demo and what a platform does at eight in the morning on a Monday when a borrower is on the phone are two very different things. A peer who has lived that experience — and can vouch for how the vendor showed up when things got difficult — is the closest thing to certainty they can get before signing a contract.
If you are a lender evaluating platforms, ask directly for references at organizations with a similar loan program mix and team size. If a vendor cannot produce them, that tells you everything you need to know about their market presence and customer satisfaction.
Support Is Not a Feature — It Is the Product
The second thing I hear consistently is support responsiveness. This one surprises software developers and vendors who think of customer support as a post-sale cost center that exists to handle edge cases. Lenders think about support completely differently. To them, support responsiveness is a core, non-negotiable part of the product itself.
Here is the operational reality. Lending organizations run on tight, absolute timelines. Loan closings happen on specific dates. Capital draws need to be processed quickly to maintain transaction momentum. Borrower accounts need to be updated in real time. When a workflow breaks, or a configuration needs to be changed, or a user cannot figure out why a calculation is off — that is not a theoretical problem. That is a live operational emergency with a direct impact on a real borrower and a real transaction.
What lenders want to know before they commit to a platform is simple: when something goes wrong after go-live, what happens next? How fast does someone answer your support request? How experienced are the people responding? Are they reading from a generic help-desk script, or do they actually understand loan structures and financial workflows?
This is why implementations that close well but transition poorly create so much long-term damage. The go-live celebration is the beginning of the real relationship, not the end of it. Experienced lenders understand this, which is why they weight support structure so heavily in their evaluations. They are not just buying a software system — they are entering into an ongoing operational dependency. They need to know the other side of that relationship is reliable, professional, and accessible when the stakes are high.
Being Salesforce-Native Is Not a Technical Detail
The third factor I hear about is native database architecture, and I want to be precise about why this matters to lenders, because it is often misunderstood as a technical preference when it is actually a strategic advantage.
Lenders who are evaluating platforms today are not just thinking about where their loan data lives right now. They are thinking about where their organization is going over the next three to five years. They are thinking about compliance requirements that are becoming more complex. They are thinking about automation that reduces manual work across their servicing team. They are thinking about the reporting and operational visibility they do not currently have but know they need to secure institutional credit lines.
When your lending platform is built natively on a leading platform like Salesforce, those questions are already answered. Your data already lives in the same environment as your client relationship management, your compliance workflows, your document management, and your business automation layer. You are not trying to connect a third-party lending system to your secure records repository via a fragile, custom-coded API integration — you are operating inside a unified environment, using its native capabilities as the foundation of your lending operations.
That distinction is significant when you are trying to do something like build a new loan program, reconfigure an approval workflow, or add a new data field that feeds a critical compliance report. In a natively integrated environment, those changes are manageable and can be handled by system administrators rather than expensive developers. In a patchwork of connected but separate systems, those changes become long-term projects that drain resources.
Executive teams at top-tier lending firms are paying attention to this. When the underlying cloud platform invests in security, scalability, and native analytical tools, organizations running native lending applications benefit from those investments automatically without having to rebuild their custom integrations. That is a very different position than being dependent on a standalone software vendor’s narrow product roadmap.
The Operational Problems They Are Trying to Solve
Beyond what lenders look for in a vendor, I want to talk about what they are actually trying to solve on the operations floor — because those two things are not the same conversation, and conflating them leads to poor system selection.
The most common operational pain I hear about is manual, repetitive work in loan servicing. Processing payments, updating interest balances, generating recurring statements, applying late fees, and tracking delinquencies — these tasks exist in every lending organization, and in organizations that have not automated them, they consume an enormous amount of staff capacity. The people doing this work are often highly capable, experienced billing professionals who are spending their days on manual data entry tasks that a well-configured system should be handling automatically. The cost is not just raw efficiency — it is employee morale, team capacity, and the aggregate ability to grow the loan portfolio without proportionally growing team headcount.
Role-based permission management is another consistent pain point. As lending organizations grow and their teams become more specialized, access control becomes operationally significant. Not everyone should see every credit file. Certain functions need to be locked down for compliance resources and institutional confidentiality. Others need to be accessible across multiple business lines. Managing this on a spreadsheet or through a classic software system with coarse-grained permissions is a daily friction point that accumulates over time into real security and operational risk.
Complex loan structures present a third area of persistent difficulty. Revolving credit lines, construction-to-permanent loans, participations, multiple draw drawdowns, and fluctuating index rates are standard tools in the commercial finance toolkit. But many legacy platforms are not built to handle them without manual workarounds. And workarounds in lending operations almost always mean spreadsheets. Managing institutional risk and complex financial products on isolated spreadsheets living on individual desktops is an operational hazard that institutional funders will not tolerate.
Integrations That Actually Matter
On the technical integration side, what I hear most frequently is credit reporting — both pulling credit reports during underwriting and reporting to the bureaus during ongoing servicing. These are not nice-to-have features for lenders who operate in the mid-market space. They are structural operational requirements with significant compliance implications. A platform that cannot support automated credit agency reporting, or that requires a cumbersome manual file assembly to do so, creates ongoing friction and compliance risk.
The broader integration need is a platform that connects seamlessly to the ecosystem that lenders already operate in — including master document systems, automated clearing house payment processors, corporate accounting packages, and secondary verification engines — without requiring bespoke engineering work every time a connection is modified. For lenders with complex underwriting workflows and multiple internal data sources, the integration architecture of their loan management system is as critical as any individual user interface feature.
Constructing an Effective Evaluation Model
For executive leadership considering an upgrade to their operational infrastructure, the framework for success requires looking beyond the interface. Evaluating the engineering team, the corporate backer, and the deployment ecosystem is often more telling than a standard sandboxed software demonstration.
The software must match your current workflow requirements, but the organization behind it must match your growth trajectory. When conducting due diligence, prioritize vendors who demonstrate deep industry tenure and understand the difference between asset-based structures, merchant cash advances, and traditional commercial real estate loans. This domain knowledge dictates how support tickets are handled and how future features are prioritized.
Furthermore, ensure that the licensing model accommodates standard expansion. Hybrid systems that limit user scaling or charge exorbitant fees for API access can choke growth just as your origination volume begins to scale. Look for contract terms that align platform costs with actual business growth rather than static seat requirements.
A Long-Term Approach to Infrastructure
The lenders who experience the smoothest technology transitions are those who view their systems not as software utilities, but as the operational foundation of their enterprise. They look for systems that can adjust dynamically when market conditions shift and compliance rules evolve.
This perspective requires moving away from short-term software procurement mentalities. If a platform is selected purely on initial setup cost rather than total cost of ownership, the hidden expenses of custom integration, system downtime, and manual staff intervention will quickly erase any initial savings. A robust, well-funded infrastructure is an investment that pays compound dividends in organizational agility and execution speed.
Building this operational foundation means accepting that technology transition is a continuous process of optimization. The system you implement today should be the platform that hosts your expansion tomorrow, providing the structural integrity required to secure secondary markets and institutional warehouse financing.
That is what we hear from team leaders inside active lending institutions. And in our experience, the leadership groups that evaluate through this long-term lens are the ones who build sustainable, scalable finance businesses.
FUNDINGO is a native loan origination and servicing platform built for specialty, commercial, and mid-market finance lenders. It is designed for institutions that require highly configurable underwriting workflows, enterprise-grade security, and a system architecture built from the ground up to support operational scale. If your firm is currently evaluating its technology stack, we welcome the opportunity to discuss your goals and connect you with peers who are already scaling their operations on the FUNDINGO platform.
Blog
What Lenders Actually Look for When Switching Software
I spend a lot of time talking to lenders who are either in the middle of a software evaluation, just coming out of a failed implementation, or quietly frustrated with a system they know they’ve outgrown. What I’ve found is that the questions they ask, and the things they care most about, are rarely what software vendors expect to hear.
They are not leading with feature checklists. They are not asking about integration libraries or API documentation on the first call. They are asking something more fundamental: can I trust this? And behind that question are three very specific signals they are looking for before they will move forward with anyone.
Trust Is the Real Procurement Criterion
The first thing lenders want — especially in the CDFI and community development space — is a peer reference. Not a case study. Not a testimonial on a website. An actual conversation with someone at a similar organization who has been through the implementation and is now running on the platform day to day.
This matters more than any demo I have ever given. When a Head of Lending at a CDFI can pick up the phone and call their counterpart at another community lender and ask, candidly, what happened when something went wrong — that conversation is worth more than a hundred sales calls. It short-circuits skepticism in a way that marketing simply cannot.
The reason this is so powerful is that lenders have been burned. They have been through implementations that ran over budget, over schedule, or that delivered something that technically worked but operationally failed. They have learned that what a vendor promises in a demo and what a platform does at 8 a.m. on a Monday when a borrower is on the phone are two very different things. A peer who has lived that experience — and can vouch for how the vendor showed up when it got hard — is the closest thing to certainty they can get before signing a contract.
If you are a lender evaluating platforms, ask directly for references at organizations with a similar loan program mix and team size. If a vendor cannot produce them, that tells you something.
Support Is Not a Feature — It Is the Product
The second thing I hear consistently is support responsiveness. This one surprises vendors who think of customer support as a post-sale function that exists to handle edge cases. Lenders think about support completely differently. To them, support responsiveness is a core part of the product itself.
Here is the operational reality. Lending organizations run on tight timelines. Loan closings happen on specific dates. Draws need to be processed. Borrower accounts need to be updated in real time. When a workflow breaks, or a configuration needs to be changed, or a user cannot figure out why a calculation is off — that is not a theoretical problem. That is a live operational situation with a real impact on a real borrower and a real deal.
What lenders want to know before they commit to a platform is simple: when something goes wrong after go-live, what happens next? How fast does someone answer? How experienced are the people responding? Are they reading from a script, or do they actually understand lending operations?
This is why implementations that close well but transition poorly create so much long-term damage. The go-live celebration is the beginning of the real relationship, not the end of it. Lenders who have been through multiple systems understand this, which is why they weight support so heavily in their evaluations. They are not just buying a platform — they are entering into an ongoing operational dependency. They need to know the other side of that relationship is reliable.
Being Salesforce-Native Is Not a Technical Detail
The third factor I hear about is the Salesforce-native architecture, and I want to be precise about why this matters to lenders, because it is often misunderstood as a technical preference when it is actually a strategic one.
Lenders who are evaluating platforms today are not just thinking about where their loan data lives right now. They are thinking about where their organization is going over the next three to five years. They are thinking about compliance requirements that are becoming more complex. They are thinking about automation that reduces manual work across their servicing team. They are thinking about the reporting and visibility they do not currently have but know they need. And increasingly, they are thinking about artificial intelligence — how to use it, where to apply it, and whether their technology stack will support it when the time comes.
When your lending platform is built natively on Salesforce, those questions have answers. Your data already lives in the same environment as your CRM, your compliance workflows, your document management, and your automation layer. You are not trying to connect a third-party lending system to Salesforce via a fragile integration — you are operating inside Salesforce, using its native capabilities as the foundation of your lending operations.
That distinction is significant when you are trying to do something like build a new loan program, reconfigure an approval workflow, or add a new data field that feeds a compliance report. In a natively integrated environment, those changes are manageable. In a patchwork of connected but separate systems, they become projects.
Executive teams at lenders are paying attention to this. When Salesforce invests in native automation and intelligence tooling, organizations running Salesforce-native lending platforms benefit from those investments without having to do anything. That is a very different position than being dependent on a standalone vendor’s roadmap.
The Operational Problems They Are Trying to Solve
Beyond what lenders look for in a vendor, I want to talk about what they are actually trying to solve — because those two things are not the same conversation, and conflating them leads to bad evaluations.
The most common operational pain I hear about is manual, repetitive work in loan servicing. Processing payments, updating balances, generating statements, applying fees, tracking delinquencies — these tasks exist in every lending organization, and in organizations that have not automated them, they consume an enormous amount of staff time. The people doing this work are often capable, experienced lending professionals who are spending their days on tasks that a well-configured system should be handling automatically. The cost is not just efficiency — it is morale, capacity, and the ability to grow without proportionally growing headcount.
Permission management is another consistent pain point. As lending organizations grow and their teams become more specialized, access control becomes operationally significant. Not everyone should see everything. Certain functions need to be locked down for compliance reasons. Others need to be accessible across multiple roles. Managing this on a spreadsheet or through a system with coarse-grained permissions is a daily friction point that accumulates over time into real operational risk.
Complex loan products are a third area. Lines of credit, adjustable rate products, participation structures, multiple draw mechanisms — these are not exotic instruments. They are standard tools in the specialty lending toolkit. But many platforms are not built to handle them without workarounds, and workarounds in lending operations are almost always spreadsheets. I cannot count the number of organizations I have talked to that are managing their revolving credit facilities on Excel files that live on someone’s desktop. The risk in that arrangement is not hypothetical.
Integrations That Actually Matter
On the integration side, what I hear most frequently is credit reporting — both pulling credit reports during origination and reporting to the credit bureaus during servicing. These are not nice-to-have features for lenders who operate in the consumer or small business space. They are operational requirements with compliance implications. A platform that cannot support bureau reporting, or that requires a cumbersome manual process to do it, creates ongoing friction and risk.
The broader integration need is a platform that connects to the ecosystem that lenders already operate in — document management, payment processors, accounting systems, verification services — without requiring bespoke engineering work every time a new connection is needed. For lenders with complex workflows and multiple data sources, the integration architecture of their lending platform is as important as any individual feature set.
What This Means for How You Evaluate
If you are a COO or Head of Lending thinking about a platform change, the framework I would suggest is this: evaluate the vendor at least as much as you evaluate the software. The platform’s capabilities matter, but so does the track record of the organization behind it, the quality of the references they can provide, the responsiveness of their support team, and the strategic alignment of their technology architecture with where your organization is going.
The lenders who have the smoothest implementations and the most successful long-term outcomes are not always the ones who picked the most feature-rich platform. They are the ones who picked a platform they trusted, from a team they trusted, that was built on a foundation that could grow with them.
That is what I hear from the field. And in my experience, the lenders who evaluate that way rarely regret it.
FUNDINGO is a Salesforce-native loan origination and servicing platform built for specialty and commercial lenders. It is designed for organizations that need configurable workflows, strong support, and a platform that can grow with their operational complexity. If you are evaluating lending software, we welcome the conversation — and we are happy to connect you with organizations already running on FUNDINGO.
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Understanding Borrowing Base Dilution in Asset-Based Lending
In mid-market corporate finance, asset-based lending serves as a critical mechanism for securing working capital. By leveraging accounts receivable, inventory, and equipment, companies can unlock substantial liquidity that would otherwise remain tied up on the balance sheet. However, the true capacity of an asset-based loan is not static. It is governed by a dynamic set of calculations, risk factors, and valuation metrics that directly impact the borrowing base. Among these metrics, borrowing base dilution stands out as one of the most critical, yet frequently misunderstood, concepts in structured corporate finance. Understanding how dilution occurs, how lenders calculate it, and how borrowers can manage it is essential for maintaining a stable and predictable flow of capital.
The Mechanics of the Borrowing Base
To understand dilution, one must first understand the fundamental structure of an asset-based loan. A lender does not simply extend a lump sum of credit based on a company’s total assets. Instead, they establish a borrowing base, which is a formulaic calculation that determines the maximum amount of money a borrower can draw at any given time. The borrowing base is typically recalculated on a weekly or monthly basis, depending on the reporting requirements established in the credit agreement. This calculation is heavily weighted toward accounts receivable and inventory, as these are the most liquid assets on a company’s balance sheet.
For accounts receivable, a lender will apply an advance rate, which is the percentage of eligible receivables they are willing to finance. In typical mid-market asset-based lending arrangements, this advance rate ranges from eighty percent to eighty-five percent. Eligible receivables are those that meet specific criteria defined by the lender. They must be current, usually under ninety days from the invoice date, and free of any liens, disputes, or offsets. By applying an advance rate, the lender creates a cash cushion to protect themselves against potential losses, collectibility issues, and dilution.
Inventory, being less liquid and more difficult to value than accounts receivable, is treated with greater caution. Lenders usually finance inventory at a lower advance rate, typically between fifty percent and sixty percent of the eligible value. This value is often determined by a net orderly liquidation value appraisal, which estimates the amount of cash the lender could recover if they had to liquidate the inventory in a short period. The combination of accounts receivable and inventory, multiplied by their respective advance rates, forms the core of the borrowing base calculation.
Defining Borrowing Base Dilution
Borrowing base dilution refers to the difference between the gross amount of an invoice generated by a borrower and the actual cash amount subsequently collected from the customer. In a perfect financial transaction, a company issues an invoice for one hundred thousand dollars, and the customer pays exactly one hundred thousand dollars thirty days later. In this scenario, dilution is zero. However, in the realm of mid-market commerce, this perfect transaction is often the exception rather than the rule. Customers frequently pay less than the face value of an invoice due to a variety of non-cash reductions.
These non-cash reductions are collectively referred to as dilution. Dilution representing the erosion of the collateral value that the lender relies upon to secure the loan. When a borrower issues an invoice, the lender advances cash based on that invoice’s value. If the customer ultimately pays less than the invoiced amount, the collateral supporting the loan has effectively shrunk. If dilution is high, the lender may find themselves under-collateralized, meaning the outstanding loan balance exceeds the actual value of the assets available to secure it. This is why lenders track dilution with extreme precision.
Lenders calculate dilution as a percentage of gross sales over a historical period, typically twelve months. The formula involves dividing total credit memorandums and non-cash write-offs by total gross sales. For example, if a company has ten million dollars in gross sales over a year and issues five hundred thousand dollars in credit write-offs during that same period, the raw dilution rate is five percent. If the lender’s appraisal reveals a dilution rate of five percent, the lender will adjust the advance rate on accounts receivable downward to account for this historical loss of collateral value, ensuring that the outstanding debt is always fully covered by realizable assets.
Common Sources of Dilution in Accounts Receivable
Dilution can stem from numerous operational and commercial factors. While some dilution is normal in almost any business, excessive dilution can indicate underlying issues in credit policies, billings, or customer satisfaction. One of the most common sources of dilution is product returns. If a customer receives defective goods or items that do not meet their specifications, they will return the merchandise and receive a credit memo. This credit memo directly reduces the outstanding accounts receivable balance without generating any cash, representing a clear loss of collateral value for the lender.
Discounts and volume rebates also contribute significantly to dilution. Many mid-market companies offer early payment discounts, such as a two percent discount if the invoice is paid within ten days instead of thirty. While this practice can accelerate cash flow, it also means the customer pays less than the face value of the invoice. Similarly, volume rebates, where customers receive retroactive discounts for purchasing large quantities of goods over a specific period, create non-cash adjustments that reduce the overall value of the accounts receivable ledger. Lenders must factor these discounts into their dilution calculations.
Billing errors and disputed invoices are another frequent cause of non-cash reductions. If a billing department issues an invoice with incorrect pricing, incorrect quantities, or missing purchase order numbers, the customer will likely withhold payment until the issue is resolved. In many cases, the borrowing company must issue a credit memo to correct the error and reissue a new invoice. During this period of dispute and correction, the collateral value of the invoice is compromised, and the lender’s risk exposure increases. Resolving billing discrepancies quickly is crucial for minimizing dilution.
Other sources of dilution include offsets and contra-accounts. A contra-account arises when a borrower’s customer is also a supplier to that borrower. In this situation, the two parties may agree to offset their mutual obligations, meaning the customer pays the net difference rather than the full invoice amount. This offset directly eliminates accounts receivable collateral without producing corresponding cash inflows. Lenders typically exclude contra-accounts from the borrowing base entirely to prevent this type of dilution from undercutting their security interest in the assets.
The Impact of Dilution on Liquidity and Credit Agreements
The primary consequence of high dilution is a direct reduction in a borrower’s available liquidity. When a lender calculates the borrowing base, they will typically subtract the historical dilution rate from the standard advance rate. For instance, if the standard advance rate is eighty-five percent and the borrower’s historical dilution rate is eight percent, the lender may adjust the advance rate down to seventy-seven percent. This eight percentage point reduction means that for every million dollars of accounts receivable, the borrower can access eighty thousand dollars less in immediate working capital.
This reduction in advance rates can create a severe liquidity squeeze, especially for rapidly growing mid-market companies that require constant injections of cash to fund inventory purchases and payroll. If a company’s sales are increasing but its dilution rate is also rising, the absolute amount of credit available under the borrowing base may fail to keep pace with operational needs. This can force management to delay purchases, stretch trade payables, or seek expensive alternative financing options, potentially hurting relationships with key suppliers and customers.
Beyond immediate liquidity constraints, elevated dilution can trigger covenant violations in the credit agreement. Most asset-based lending agreements contain financial covenants, such as a minimum fixed charge coverage ratio or a minimum availability requirement. If dilution reduces the borrowing base to the point where availability falls below the specified threshold, the borrower may trigger a default. This gives the lender the right to increase interest rates, impose stricter reporting requirements, or even accelerate the debt, putting the company’s financial survival at risk. Managing dilution is therefore a matter of covenant compliance as well as liquidity management.
Strategies for Borrowers to Manage Dilution
Borrowers can take several proactive steps to minimize dilution and maximize their borrowing base availability. The first step is to establish rigorous credit policies and customer screening procedures. By thoroughly evaluating the creditworthiness of potential customers before extending terms, a company can reduce the likelihood of disputes, delayed payments, and ultimate bad debt write-offs. Clear communication regarding payment terms, return policies, and product specifications from the outset of the relationship can prevent misunderstandings that lead to credit write-offs.
Improving billing accuracy and administrative efficiency is another critical area of focus. Implementing automated invoicing systems that are integrated with inventory and shipping databases can dramatically reduce errors in pricing, quantities, and descriptions. Invoices should be generated and sent immediately upon shipment to ensure they are received and processed by the customer’s accounts payable department without delay. A dedicated dispute resolution team should be established to identify, investigate, and resolve customer complaints, minimizing the time invoices spend in a disputed state.
Tightening quality control in manufacturing and logistics is also vital for reducing product returns and subsequent credit write-offs. Ensuring that products are manufactured to precise standards and packaged securely for transit minimizes damage and defects. For companies with significant seasonal variations or high volumes, maintaining close oversight of warehouse operations can prevent shipping errors. By shipping the correct products in excellent condition, companies can address the root causes of many invoice disputes and credit write-offs, directly protecting the borrowing base.
Finally, borrowers should work closely with their asset-based lenders to understand the specific factors driving their dilution calculations. By reviewing the lender’s audit results and historical data, management can gain valuable insights into which customers or product lines are contributing most to non-cash write-offs. This collaborative approach allows the borrower to target their process improvement efforts more effectively, demonstrating to the lender a commitment to maintaining high-quality collateral, which can sometimes lead to more favorable loan terms and advance rates.
The Lender’s Perspective on Dilution Management
For institutional lenders and private credit firms, monitoring dilution is a fundamental component of risk management. Because asset-based loans are structured with the expectation that the underlying assets can be quickly liquidated to repay the debt if necessary, any erosion in collateral value directly threatens the lender’s principal safety. Lenders perform regular on-site field audits, typically once or twice a year, to review the borrower’s accounts receivable ledger, credit memo register, and general accounting procedures to verify the accuracy of the reported borrowing base calculations.
During these audits, the lender’s field examiners will analyze the quality of the receivables, looking closely at concentration limits, cross-aging percentages, and dilution trends. If a single customer represents a disproportionate share of the borrower’s receivables, the lender may cap that customer’s eligibility to mitigate concentration risk. Similarly, if a significant portion of a customer’s invoices are aged past ninety days, the entire account may be deemed ineligible. These protections, combined with dilution adjustments, ensure that the lender’s credit exposure remains aligned with the recoverable value of the collateral.
In addition to historical audits, lenders utilize sophisticated monitoring systems that track daily or weekly changes in the accounts receivable aging report. If a sudden spike in dilution is detected, the lender’s risk management team will initiate a review to determine the cause. If the spike is found to be temporary, such as a one-time adjustment for a major customer return, the lender may agree to a temporary waiver or credit amendment. However, if the increase represents a structural shift in the borrower’s business model or credit profile, the lender will permanently adjust the borrowing base formulas to maintain their required collateral margin.
Ultimately, borrowing base dilution is a vital metric that reflects the health, efficiency, and commercial alignment of a mid-market company’s operations. For borrowers, keeping dilution low is key to unlocking the full potential of their asset-based loans, securing the consistent liquidity required to execute their growth strategies. For lenders, diligent tracking of dilution provides the security and risk protection necessary to extend flexible credit facilities in a complex and volatile economic environment. Both parties benefit when dilution is understood, measured, and systematically managed through operational excellence and transparent financial reporting.
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How Lean Lending Teams Can Close More Deals Without Adding Headcount
I was at a conference recently — the kind where you end up having the most useful conversations in the hallway, not the session rooms — and I sat down with a lending operations leader who manages a team of eight people. Their shop closes somewhere between 40 and 50 deals a month. By most standards, that is a productive team. But the conversation quickly turned to the same frustration I hear from lenders everywhere: the volume is sustainable right now, but they cannot grow without breaking something.
That tension — between current output and future capacity — is one of the most common operational problems in mid-sized lending organizations. The team is not failing. The work is getting done. But when you map out how the work is actually happening, you find manual steps embedded in every stage of the pipeline. Document requests going out by email. Loan agreements assembled by hand. Broker conversations managed through a mix of spreadsheets and memory. E-signatures chased down through follow-up calls. Every deal closes, but each one costs more effort than it should.
What Eight People Doing 50 Deals a Month Actually Looks Like
When a team of eight is originating 40 to 50 loans monthly, the math is unforgiving. At that volume, there is almost no slack in the system. Each person is carrying a significant portion of the pipeline, which means that any manual step that could be automated is directly consuming capacity that could go toward new deal flow, underwriting depth, or relationship management.
What I typically see in these organizations is not a lack of effort or skill. The team knows the business. They are usually experienced, smart, and deeply committed. The problem is that their time is being spent on tasks that do not require their expertise. Generating a loan agreement from a template. Sending a document checklist to a borrower. Following up on a missing signature. These are not high-judgment activities. But in a legacy system environment, they take real time because the tools do not automate them.
The lender I spoke with described their current system as something they had used for years. It worked, in the sense that deals got closed. But it could not generate documents automatically. It could not trigger e-signature workflows. It had no structured way to track brokers or monitor the quality of broker relationships over time. Everything that fell outside the core transaction was handled through workarounds — and over time, those workarounds had become invisible infrastructure that everyone depended on but nobody had time to improve.
Document Generation Is Not a Feature. It Is a Multiplier.
The enthusiasm this team expressed about automated document generation was telling. It was the first thing they brought up when talking about what they were hoping to accomplish with a platform change. That is not unusual. In my experience, document generation sits at the intersection of compliance, borrower experience, and operational throughput in a way that makes it uniquely painful when it is manual and uniquely powerful when it is automated.
Think about what generating a loan document actually involves in a manual environment. Someone needs to pull the deal terms from the origination record, populate them into a template, verify accuracy, convert the document to the right format, and then route it to the borrower. If the deal has non-standard terms — which is common in specialty lending — there may be additional review steps. If the template changes because of a regulatory update, someone has to remember to use the new version. If the deal terms change after the initial document is generated, the whole process restarts.
Now multiply that by 50 deals a month. The time cost is significant. More importantly, each manual touchpoint is a potential source of error. And in lending, errors in loan documents are not just inconvenient — they can create legal exposure, delay closings, and damage borrower trust.
When document generation is automated and tied directly to the loan record, all of that changes. The document is assembled from live deal data, not from copy-pasted terms. Templates are version-controlled. The output is consistent regardless of who is handling the deal. And the time between a completed underwriting decision and a document in the borrower’s hands collapses from hours or days to minutes.
E-Signature Is the Last Mile That Slows Everything Down
The second thing the team talked about was e-signature. This is another area where the gap between what lenders expect and what legacy systems deliver tends to be stark. E-signature is not a new technology. Most people in lending have been using it in some form for years. But there is a significant difference between having e-signature available as a standalone tool and having it integrated into the origination workflow in a way that automatically triggers, tracks, and routes signatures without human intervention.
In a disconnected environment, e-signature becomes its own operational task. Someone has to initiate the envelope, verify the recipients, monitor the status, follow up when signatures are delayed, and then manually record that the document has been executed. For a team closing 50 deals a month, that follow-up cadence alone represents a meaningful time commitment — and it is the kind of task that tends to fall through the cracks when the pipeline is busy.
When e-signature is embedded in the origination workflow, those tasks disappear. The signature request is triggered automatically when a document is generated and approved. The system tracks completion and escalates when a deadline is approaching. Once executed, the signed document is automatically stored in the loan record. The team’s attention is freed to work on things that actually require their judgment.
Broker Tracking: The Relationship Layer That Most Systems Ignore
The third topic that came up in my conversation — and I find this one particularly interesting because it tends to get overlooked — was broker management. This team wanted better visibility into their broker relationships: who is submitting deals, what the quality of those submissions looks like, how referral volume tracks over time, and how individual brokers are performing against expectations.
In most legacy lending systems, the broker is treated as a data field on the loan record, not as a relationship that needs to be actively managed. You can see which broker submitted a deal, but you cannot easily see how that broker’s pipeline has trended over the past six months, what their average deal quality looks like, or when your last substantive interaction with them was. That information exists somewhere — in emails, in spreadsheets, in the memory of whoever manages broker relationships — but it is not surfaced in a way that supports proactive decision-making.
For lenders who depend on broker networks for origination volume, this is a real operational gap. The ability to see which brokers are producing, which are declining, and which are submitting deals that consistently require additional work is not just useful for relationship management — it directly affects portfolio quality and origination efficiency. A broker who reliably submits clean, well-packaged deals is worth more investment than one who submits high volume with poor documentation. But without systematic tracking, those distinctions are invisible.
What this team was describing — the desire to track brokers as first-class relationships rather than data fields — is exactly the kind of capability that requires a platform built around a relationship management foundation. It is not a feature that can be bolted onto a loan origination system as an afterthought. It needs to be native to the way the system organizes and surfaces information.
Why Legacy Systems Survive as Long as They Do
One thing I have learned from these conversations is that legacy systems do not persist because lenders are unaware of their limitations. The team I spoke with knew exactly what their current system could not do. They had been living with those limitations for years. The reason they had not moved sooner was a combination of factors that anyone who has managed a technology transition at a lending organization will recognize immediately.
First, there is the real risk of disruption to a functioning pipeline. When your team is closing 50 deals a month, you cannot afford a rocky implementation. The fear of operational disruption during a migration is legitimate, and it keeps many lenders on systems they have outgrown far longer than they would like. Second, there is the cost of switching — not just in licensing fees, but in the time required to train a team, rebuild processes, and migrate historical data. Third, there is the uncertainty about whether a new system will actually deliver the capabilities it promises, or whether you will trade one set of limitations for another.
These are not irrational concerns. They reflect hard-won experience with technology projects that promised transformation and delivered complexity. The lenders who are most cautious about platform changes are often the ones who have been through the most difficult implementations. Their skepticism is earned.
What changes the calculus is when the cost of staying on a legacy system becomes more visible. When volume grows and the manual work scales with it. When a key person leaves and the institutional knowledge that held the workarounds together walks out the door. When a competitor starts closing deals faster or offering a borrower experience that a manual process cannot match. At some point, the risk of staying starts to outweigh the risk of moving.
The Platform Foundation Matters More Than the Feature List
What this team found compelling about moving to a Salesforce-native platform was not any single feature — it was the underlying foundation. When your lending operations are built on a platform that already handles relationship management, workflow automation, document management, and reporting at an enterprise scale, the incremental work of implementing lending-specific capabilities becomes far more manageable. You are not building infrastructure from scratch. You are configuring capabilities that the platform already knows how to support.
That foundation also means that the capabilities the team was most excited about — document generation, e-signature, broker tracking — are not isolated features that need to be integrated and maintained separately. They are part of a unified operational environment where the loan record, the borrower relationship, the broker relationship, and the document history all live in the same place. When a deal moves through the pipeline, every system that needs to know about it already does.
For a team of eight closing 50 deals a month, that kind of operational unity is not a luxury. It is what makes scaling possible without scaling headcount proportionally. The team does not need more people to close more deals. They need less of their existing capacity consumed by manual work that the platform should be handling automatically.
What Operational Capacity Actually Buys You
The conversation I had at that conference ended the way a lot of the best ones do — with the person I was talking to thinking out loud about what they would actually do with recovered capacity if they had it. The answer was not complicated. They would spend more time with borrowers. They would build deeper broker relationships. They would do more thorough underwriting on complex deals. They would look harder at their portfolio data and use it to make better origination decisions going forward.
None of those things require new technology. They require time and attention that the current operational model does not leave room for. That is the real cost of a system that forces manual work at every stage — not just the hours spent on administrative tasks, but the relationship depth, analytical rigor, and strategic thinking that those hours could have been spent on instead.
Lenders who move to platforms that automate the operational layer do not always see the benefit show up immediately in deal volume. Sometimes the first thing that improves is quality — better underwriting, stronger borrower relationships, more consistent documentation. Over time, that quality improvement tends to compound into volume improvement as well. But the starting point is almost always the same: a team gets time back, and they use it to do the things they should have been doing all along.
That is what a platform change actually buys. Not software. Not features. Capacity to do the work that matters.
FUNDINGO is a Salesforce-native loan origination and servicing platform built for specialty and commercial lenders managing complex, high-volume operations. If your team is spending more time on manual process than on lending, fundingo.com is a good place to start the conversation.
Blog
The Strategic Role of Inventory Valuation in Asset-Based Lending
In the highly competitive world of mid-market finance, asset-based lending remains a cornerstone for companies requiring scalable working capital. Among the various collateral types, inventory represents one of the most complex elements to value and monitor. For institutional lenders and borrowers alike, mastering the nuances of inventory valuation is essential for ensuring accurate borrowing capacity and maximizing the efficiency of credit facilities. This article explores the strategic importance of inventory appraisal, appraisal methodologies, and the role of ongoing monitoring in maintaining a healthy borrowing base.
Effective inventory management begins with a deep comprehension of the various stages of production and their impact on liquidity. Raw materials, work in process, and finished goods each possess different levels of marketability and risk. Lenders must carefully analyze these components to determine appropriate advance rates that reflect the potential recovery value in a liquidation scenario. This valuation process requires not only historical data analysis but also an assessment of market trends, the competitive landscape, and the overall economic cycle. By aligning borrowing base certificates with the reality of production cycles, firms can maintain a resilient liquidity profile that supports operational stability and strategic growth.
The methodologies utilized for inventory valuation are critical in ensuring that the borrowing base remains an accurate reflection of available liquidity. Appraisal experts typically employ a combination of net orderly liquidation value and fair market value assessments. While these appraisals provide a baseline, they are essentially snapshots in time. To ensure ongoing accuracy, management teams must implement rigorous internal controls that track inventory levels, cost-to-market valuations, and obsolescence risks. This discipline, combined with regular third-party audit verification, fosters trust between lenders and borrowers, ensuring that credit facilities remain stable even during periods of market volatility.
The impact of inventory valuation on covenant compliance is often overlooked but remains a critical factor in the success of any lending relationship. When inventory values fluctuate due to commodity price movements or supply chain disruptions, the borrowing base can contract, leading to a potential breach of covenant. By proactively identifying and reporting these risks, borrowers can collaborate with their lenders to adjust credit structures or secure additional support. This transparent approach, anchored in accurate and timely valuation, serves to mitigate risk and maintain alignment between the needs of the business and the expectations of institutional capital providers.
Looking ahead, the integration of real-time inventory management technologies is set to revolutionize the field of asset-based lending. Advanced tracking systems that monitor inventory movemement, demand patterns, and market pricing in real time provide a significantly more dynamic approach to facility management. As these tools become more prevalent, the standard for borrowing base accuracy will continue to rise. Lenders and borrowers who invest in such analytical infrastructure will be better positioned to optimize capital deployment and improve their overall financial flexibility in a constantly evolving market environment.
Ultimately, the role of inventory valuation in asset-based lending is to serve as a bridge between operational reality and financial structure. By prioritizing transparency, rigor, and technical foresight, mid-market companies can harness the full potential of their inventory to drive growth and maintain competitive advantage. Successful companies understand that valuation is not merely an accounting requirement but a strategic tool that, when wielded with precision, fosters enduring stability and enables long-term prosperity.
In conclusion, the mastery of inventory valuation provides a unique and vital advantage in the mid-market credit space. Whether managing raw material supply lines or finished goods distribution, the ability to accurately assess and monitor collateral is fundamental to securing consistent institutional funding. By focusing on these core principles, organizations strengthen their financial foundation, paving the way for sustained innovation and expansion in the years to come.
As the lending landscape matures, those firms that integrate deep technical expertise with advanced valuation methodologies will define the standard of success. This shift toward more proactive, data-driven management will empower borrowers to navigate liquidity challenges with increased confidence, securing their position within the broader financial marketplace and ensuring continued success in the pursuit of strategic, ambitious goals.
By transforming the way they approach inventory and collateral assessment, mid-market businesses unlock powerful new opportunities to leverage their hard assets. This strategic pivot requires dedication and focus, but the result is a resilient capital structure capable of supporting robust growth regardless of the economic environment. The future belongs to those who view their hard assets not just as stored value, but as active drivers of financial strategy and long-term shareholder wealth creation.
Continuing to refine these processes will be a core strategic objective for successful mid-market lenders and their portfolio companies. The synergy between operational intelligence and financial discipline, centered around accurate and robust valuation, provides the clearest path to navigating the complexities of modern commercial credit. Through constant innovation and a commitment to foundational valuation principles, these partnerships can overcome the hurdles of today and build toward the opportunities of tomorrow, ensuring a stable and prosperous financial future.
As the market continues to evolve, the importance of these practices will only intensify. Ensuring continued access to institutional capital will require not just adherence to basic standards, but a leadership-tier approach to inventory management and valuation. Each company must now assess its own capabilities in this area, seeking potential for refinement or technological integration to ensure its borrowing base remains a reliable engine for continued, sustainable investment and growth in the years ahead.
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Blog
Navigating Liquidity Challenges in Leveraged Buyout Transactions
The landscape of leveraged buyouts has evolved into a complex ecosystem requiring precise financial oversight and strategic capital management. As firms increasingly pivot toward sophisticated debt structures, the ability to anticipate and manage liquidity becomes the primary differentiator between successful portfolio integration and operational distress. Effective liquidity management in this context demands a deep understanding of cash flow velocity, working capital cycles, and the specific constraints imposed by senior financing agreements.
Liquidity risk in the context of a leveraged buyout is rarely a singular event. It often stems from an misalignment between the timing of debt service obligations and the cyclical nature of operational cash generation. Business owners must navigate these challenges by establishing rigorous, real-time reporting mechanisms that bridge the gap between financial performance and debt obligations. By prioritizing transparency in cash reporting, firms can proactively address shortfalls before they trigger restrictive covenants or require emergency capital injections.
The role of asset-based lending in stabilizing these transactions cannot be overstated. When traditional cash-flow-based underwriting faces volatility, asset-based facilities provide the necessary runway by tying liquidity directly to the underlying collateral, such as accounts receivable and inventory. This method provides business owners with a predictable line of credit that expands and contracts with their operational needs, creating a natural hedge against the liquidity fluctuations inherent in large-scale acquisitions.
Proactive management of the borrowing base is another vital component in sustaining liquidity. Strict adherence to documentation standards and constant validation of collateral eligibility prevent unexpected reductions in availability. When a firm understands the nuances of its borrowing base, it can make informed decisions about capital allocation without the fear of sudden contraction. This operational discipline is essential for maintaining a positive trajectory through the integration phase of any major transaction.
External market factors also influence the liquidity profile of leveraged entities. Shifts in macroeconomic conditions, interest rate environments, and supply chain dynamics can rapidly alter cash requirements. Institutional lenders now expect operators to conduct regular stress testing to simulate the impact of these variables. By modeling potential liquidity crunches, management can secure additional headroom and cultivate stronger relationships with their capital providers, ensuring support remains available even when market conditions shift.
Ultimately, liquidity management in leveraged buyouts is an ongoing discipline rather than a one-time project. It requires a synthesis of operational excellence and financial foresight. By embedding a culture of cash-focus into day-to-day operations and maintaining open lines of communication with lending partners, organizations can navigate even the most challenging capital structures with resilience and strategic confidence. Achieving this balance allows lenders and borrowers alike to focus on longer-term value creation rather than the immediate pressures of solvency.
This commitment to rigorous financial health fosters long-term stability and growth. Organizations that master the complexities of their liquidity position are better positioned to capitalize on opportunities for expansion and reinvestment. In a competitive landscape where institutional capital rewards reliability and transparency, the ability to demonstrate sustained control over liquidity is the foundation upon which enduring partnerships are built.
Navigating the intricacies of leveraged buyout liquidity effectively underscores the importance of a strategic, data-driven approach to corporate finance. As deal structures continue to increase in complexity, institutional lenders and private equity operators must prioritize clarity, foresight, and disciplined reporting. Those who excel in this environment not only mitigate risk but create a clear advantage in their ongoing access to vital institutional capital.
Moving forward, the successful firm will be characterized by its integration of advanced analytical tools with a steadfast commitment to foundational liquidity concepts. By combining accurate collateral monitoring, stress testing, and clear reporting, businesses can ensure they have the financial agility necessary to thrive amidst shifting market conditions. This holistic framework ensures that liquidity remains an enabler of growth rather than a constraint on performance.
Maintaining operational flexibility during a leveraged buyout is paramount. Successful operators understand that liquidity is not merely a balance sheet metric but a dynamic reflection of operational health. By focusing on the velocity of cash within the business, management teams can identify bottlenecks in production or collections that might otherwise go unnoticed. This early detection is critical for maintaining adequate headroom in credit facilities and avoiding technical defaults that can jeopardize the entire investment. Furthermore, the integration of robust treasury management systems allows for a centralized view of cash across various subsidiaries, providing the oversight needed to optimize working capital at every level of the organization. This level of visibility is highly valued by institutional lenders, as it provides confidence in the borrower’s ability to manage debt obligations through various economic cycles. Building this infrastructure early in the acquisition process establishes a foundation for operational discipline that persists long after the initial transaction has closed. As the business continues to evolve, this focus on cash efficiency will remain a core tenet of stable financial management, ensuring that the company retains its competitive edge and its capacity for future growth in an increasingly demanding capital environment. By prioritizing the fundamentals of cash flow, oversight, and communication, leveraged companies can transform liquidity from a source of stress into a key driver of long-term sustainable success and value creation for all stakeholders involved.
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