Why Repeatability Matters More Than Novelty in Receivables Technology

A new feature can solve a real problem and still leave an organization with a bigger question: can we use it again without rebuilding it from scratch?

That’s the difference between solving a technology problem and creating a technology capability. For leaders evaluating an investment, I’d ask whether the capability can be deployed, governed, tested, maintained, and adapted across more than one client or portfolio.

Build Once, Adapt Many Times

Take creditor onboarding. Every creditor has different data, policies, reporting needs, and portfolios. That doesn’t mean every implementation needs a new data architecture.

A common data structure, documented APIs, standard validation, and reusable integration components can provide a shared foundation. Creditor-specific requirements can then be handled through configuration.

The same idea applies to payment arrangements, communications controls, disputes, hardship processes, compliance records, reconciliation, and portfolio transfers. The goal isn’t to make every client operate the same way. It’s to avoid rebuilding the machinery every time a policy changes.

That’s a higher bar than simply getting a feature into production.

Reuse Can Improve Quality

Software engineering research offers a useful example. A peer-reviewed study of a large telecommunications system found that reused components had lower defect density than components that weren’t reused and were modified less often between releases.

That research wasn’t conducted on receivables platforms, so I wouldn’t use it to predict defect rates for our industry. But the principle is relevant – a component that has been used, tested, corrected, documented, and reused may carry a different risk profile from something built once for one implementation.

A configurable payment-arrangement engine, for example, can be tested and improved across multiple uses. A shared audit structure can give teams a consistent way to reconstruct what happened. Reuse can save development time, but it can also give teams repeated opportunities to strengthen the same foundation.

One-Off Solutions Can Become Ongoing Work

Technical debt isn’t just old or poorly written code. It’s the future work created by decisions made today.

A 2025 study examined 15 open-source projects and found that a specific kind of technical debt, caused by production code and test code failing to evolve together, accounted for about half of maintenance costs in those projects. Those figures don’t translate directly to a collection agency’s budget. 

The pattern is what matters. Implementation shortcuts can become recurring obligations when code, tests, documentation, and maintenance fall out of sync.

I’ve seen versions of that problem across technology environments. An integration works, but only one developer knows how to update it. A strategy is hard-coded, so a routine change requires a development ticket. A compliance rule changes, but the tests and audit evidence don’t. A payment feature built for one portfolio can’t be reused for a similar need later.

Customization isn’t the problem. Receivables organizations have real differences in portfolios, policies, jurisdictions, and business models. The question is whether those differences can be handled through controlled configuration or require a separate branch of technology each time.

AI Raises the Stakes

AI-assisted development makes it faster to generate code, build integrations, and test ideas. It also makes one-off solutions easier to create.

DORA’s 2025 research surveyed nearly 5,000 technology professionals. Ninety percent said they used AI at work, and more than 80% reported a positive effect on productivity. At the same time, 30% said they had little or no trust in AI-generated code.

Faster development doesn’t automatically produce maintainable, secure, portable, or well-governed software. If AI makes custom software cheaper to create, it can make technical debt cheaper to create too.

One team can quickly build a workflow for a client. Another can make a similar version independently. A third can automate its own process. Each project may look productive on its own. Across the organization, that can mean separate tests, maintenance paths, compliance reviews, and owners for systems that solve nearly the same problem.

The faster we can build, the more carefully we need to decide what deserves to be built once and reused.

Standardize the Foundation, Configure the Policy

Creditors may have different settlement authority. Portfolios may need different strategies. Communication and reporting requirements can vary. Those differences are real. They don’t always require a different technical foundation.

A common data model can support multiple portfolios. A standard integration framework can connect different creditor systems. A shared audit structure can record different workflows. A payment platform can support different settlement parameters without becoming a separate system for every client.

That separation matters as agencies work across creditor systems, payment processors, communication providers, analytics platforms, data vendors, compliance tools, and AI applications. Every custom connection adds something the organization has to understand and maintain. Repeatable foundations can make those relationships easier to manage.

Innovation Has to Work More Than Once

Solving a hard problem is satisfying. Something that seemed impossible yesterday works today, and the value is immediate.

But the next implementation tells us more. So does the fifth, the next regulatory change, and the next developer who has to maintain the code.

Those are the moments that show whether we created a capability or solved a problem once.

As AI makes it easier to build, leaders will need to make careful decisions about what becomes part of the organization’s long-term technology. In receivables, the goal is to build capabilities teams can operate, audit, adapt, and improve over time.

Author Bio

Adam Parks has become a voice for the accounts receivable industry. With almost 20 years of experience working in debt portfolio purchasing, debt sales, consulting, and technology systems, Adam now produces industry news, hosts hundreds of episodes of the Receivables Podcast, and manages branding, websites, and marketing for over 100 companies within the industry.