The next $100 million of portfolio growth should be easier to absorb than the last $100 million. If it is not, the constraint may be the operating model behind the book. Asset-based lending (ABL) modernization is often essential for organizations seeking to scale and improve operating models.
The short answer: Asset-Based Lending portfolio growth is sustainable when the operating model creates leverage, meaning more borrowers, borrowing bases, and collateral reviews can be absorbed without portfolio managers, collateral analysts, and credit operations staff growing at the same rate. If headcount has to scale with the book, the constraint is the operating model, not demand.
Asset-Based Lending is a specialist business.
That specialization is part of its strength. Experienced lenders understand how borrowing-base mechanics, collateral quality, reserves, field exams, appraisals, and availability work together. They know when a change in dilution is noise and when it is a signal. They understand how a concentration, cross-aging issue, offset or change in NOLV can alter the risk picture quickly.
The challenge is that growth brings more of everything.
More borrowers. More borrowing bases. More collateral files. More field exams. More exceptions. More requests for waivers and overrides. More reporting. More people involved in keeping the portfolio current.
At some point, growth stops being constrained by demand for capital and starts being constrained by the operating capacity behind it.
For a Head of ABL, that is a business problem before it is a technology problem.
Why does ABL portfolio growth add operating cost?
ABL leaders are measured on the performance of the book.
Originations matter. Yield matters. Losses matter. Client retention matters. So does how efficiently the business can support a larger portfolio.
If every increase in commitments or outstandings requires a similar increase in portfolio managers, collateral analysts, credit operations staff and manual control activity, the business is adding volume without creating much operating leverage. In ABL, operating leverage means the book can grow faster than the cost and specialist headcount required to support it.
That can remain hidden for a long time.
Experienced people work around the friction. They reconcile one more spreadsheet. Maintain one more offline schedule. Build another report. Add another manual check to the borrowing-base process. Keep institutional knowledge in email threads and individual memory because the team knows how to make the system work.
Those adaptations are often practical in the moment. Over time, they become part of the cost structure.
The question for an ABL leader is not simply whether the portfolio can grow. It is how much growth the current operating model can absorb before service, control or margin begins to suffer.
Why should time to first funding be a growth metric?
ABL teams spend considerable effort winning a deal before it ever becomes an earning asset.
A signed term sheet is not revenue.
The opportunity still has to move through underwriting, documentation, diligence, field examination, collateral setup, account configuration, cash-control arrangements and borrowing-base readiness before the first advance is made.
Every handoff matters.
Every piece of information that has to be rekeyed matters.
Every delay created by incomplete collateral setup, disconnected systems or manual approval steps matters.
That makes time from term sheet to first funding more than an implementation metric. It is a commercial metric.
A lender that can get a well-structured transaction operational faster, without compromising credit discipline, has an advantage.
The same is true after closing.
- When a borrower submits collateral information, how quickly can the institution determine availability?
- How much manual work is required to identify ineligible receivables?
- How many people need to touch the process before an exception is resolved?
- How much of the portfolio manager’s time is spent managing the relationship versus reconstructing the data needed to manage it?
Those are growth questions.
Specialized talent should be the last thing you scale linearly
ABL expertise takes years to build.
That makes specialist capacity one of the most expensive resources in the operating model.
- Collateral analysts understand how eligibility rules, dilution, concentrations, reserves, and advance rates interact.
- Portfolio managers know when a borrower deserves flexibility and when an exception is becoming a pattern.
- Credit leaders understand the difference between a performing account with routine noise and one that is beginning to deteriorate.
- Field exam professionals know what to look for when borrower reporting no longer tells the full story.
Those people should spend their time where experience changes the quality of the decision.
They should not spend increasing portions of the day rekeying collateral data, reconciling multiple views of the same account, routing predictable approvals, or assembling information that should already be connected.
The objective of automation is not to remove the specialist from ABL.
It is to stop consuming specialist time on work that does not require specialist judgment.
Normal activity should flow. Exceptions should surface. Experts should decide.
That sounds simple. In ABL, it is not.
Each credit agreement creates its own operating rules. Eligibility definitions vary. Reserve logic varies. Advance rates vary. Reporting requirements vary. Borrowers behave differently.
The answer is not to make every deal generic.
The answer is to make repeatable parts of each deal more repeatable.
A borrowing base is a control process, not just a calculation
One of the risks in modernization is treating borrowing-base processing as an arithmetic problem.
It is not.
A borrowing base reflects the credit agreement and the lender’s view of the collateral.
- Eligible receivables may be affected by aging, cross-aging, concentrations, offsets, contra accounts, dilution, foreign accounts, government receivables, or debtor-specific concerns.
- Inventory availability may depend on category, location, appraisal assumptions, reserves and NOLV.
Availability can change because the collateral changed, because policy changed, or because the lender exercised discretion.
The stronger operating environment should make that logic visible and repeatable.
A collateral analyst should be able to understand what changed.
A portfolio manager should be able to see the effect on availability.
A credit officer should be able to trace the decision back to the underlying rule, reserve, or exception.
That is what allows the institution to grow without replacing credit discipline with administrative complexity.
What happens to ABL operations when credit weakens?
A benign portfolio can hide a weak operating model.
If borrower performance is strong, collateral quality is stable, and liquidity is ample, many manual processes remain manageable.
That changes when the credit weakens.
- A lender may increase reserves.
- Availability may tighten.
- Field exams and appraisals may become more frequent.
- Cash dominion may move closer to full control.
- Cross-aging, offsets, dilution, and concentration become more important.
- Springing covenants can become active.
- Intercreditor and participant reporting may demand more attention.
Exception volume rises precisely when the business has less tolerance for slow or incomplete information.
This is why a scalable ABL operating model has to be designed for both conditions.
A system that is efficient only while every credit is performing is not truly efficient.
It is efficient only in the easy part of the cycle.
How should ABL leaders measure operating capacity?
ABL leaders should begin asking a different set of questions.
- How many relationships can a portfolio manager support without degrading service or visibility?
- How many borrowing bases can a collateral team process accurately without adding staff?
- How much of a specialist’s week is spent on judgment versus processing?
- How quickly can a new borrower reach first funding?
- How long does it take to resolve a material collateral exception?
- How much of the portfolio can leadership see without waiting for someone to compile it manually?
Those measures say more about the scalability of the business than whether the core system is technically current.
They also provide a better basis for modernization.
The objective becomes measurable operating leverage.
Not simply newer technology.
What should ABL modernization change?
A strong ABL modernization program should change how the operation performs.
- Borrowers should be able to complete more routine interactions through self-service.
- Collateral information should move through fewer manual steps.
- Eligibility and reserve logic should be easier to administer consistently.
- Exceptions should be visible and routed to the right people.
- Portfolio information should be easier to access and use.
- Surrounding systems should connect without requiring constant reconstruction of the same data.
- The business should have more capacity to grow before it needs the next incremental hire.
That is the standard.
At Access Capital, ABL modernization was used to reduce low-value manual touchpoints, improve borrower self-service, and connect portfolio information through APIs and Data Streaming. Its use of the AR Wizard also reduced the effort required to calculate ineligibles.
Merchant West Group modernized its ABL environment to support planned growth while improving data access, reporting, and borrower self-service.
Neither example is simply about moving software.
The value is in changing how the operation works.
The next $100 million should be easier
Portfolio growth will always create more activity.
The goal is not to pretend otherwise.
The goal is to prevent operational complexity from increasing at the same rate as earning assets.
A scalable ABL operation should be able to absorb more borrowers, more collateral, and more transaction volume without requiring every process, control, and specialist team to expand proportionately.
That is what operating leverage looks like in Asset-Based Lending.
And it creates a useful test for any modernization strategy:
Will the next $100 million of portfolio growth be easier to support than the last $100 million?
If the answer is no, the business may be modernizing the technology without modernizing the operating model.