Is your credit decisioning holding you back? You might not even realise it.

Why asset finance leaders should look beyond established processes to unlock greater speed, control and growth.

By Claire Januszczak, Head of Sales, LendingMetrics

After 15 years at LendingMetrics, working closely with lenders and watching the asset finance industry evolve, I've become convinced of one thing.

One of the biggest barriers to better credit decisioning can be assuming your existing approach is already delivering everything it could.

It's an understandable position. Applications are being processed, customers are being served and lending targets are being met. Experienced teams know how to make established processes work, often finding practical ways around their limitations.

But that doesn't necessarily mean those processes are supporting the business as effectively as they could.

Asset finance has changed considerably. Customer expectations have accelerated, data has become more accessible, and lenders face growing pressure to balance speed, risk and commercial performance.

Yet the processes underpinning credit decisions haven't always evolved at the same pace.

I'd encourage lending leaders to look beyond whether their decisioning operation works today and ask a more strategic question.

Is it equipped to deliver the performance, control and scalability their future ambitions demand?

Is it an underwriting capacity problem, or a process problem?

One thing I've noticed throughout my conversations with lenders is how much time experienced underwriters can spend on tasks that don't necessarily require their level of expertise.

There's understandably a lot of focus across the industry on improving efficiency, reducing costs and speeding up decisions. But often, it's the processes surrounding the credit decision that create the biggest challenges.

I've seen how manual interventions can become routine, workarounds become accepted practice, and experienced underwriters find themselves gathering information, moving between systems and completing manual checks rather than focusing on the cases where their experience and judgement add the most value.

The work gets done. But at what cost?

There's also the important question of governance.

When processes rely heavily on manual intervention, maintaining consistency, demonstrating policy compliance and evidencing how decisions have been reached can become increasingly difficult, particularly as lending volumes grow.

This brings me to an observation I believe deserves more attention.

Many lenders don't have an underwriting capacity problem. They have a process problem.

Of course, there are times when additional underwriting resource is essential. But if increasing lending volumes consistently requires a corresponding increase in operational capacity, I'd encourage lenders to consider whether they're scaling their lending capability or scaling processes that may no longer be as efficient as they could be.

I've seen first-hand how modern credit decisioning can offer a different approach: automating routine activities, applying credit policy consistently and enabling skilled underwriters to concentrate on complex cases where their expertise adds genuine value.

It's not about replacing people. It's about making better use of their expertise, creating capacity for growth and strengthening the controls that support every decision.

Faster decisions aren't necessarily better decisions

Our research found that 71% of senior credit decision-makers identify rising expectations for speed as a leading driver of change.

It's easy to understand why. Brokers want answers, customers expect responsiveness and commercial opportunities don't wait indefinitely.

But speed needs to be balanced with control.

Automating existing processes without considering data quality, policy consistency or decision visibility may deliver faster outcomes without necessarily improving the quality of decisioning.

The objective shouldn't simply be to make decisions faster. It should be to make better decisions, faster, with confidence and control.

One thing I've learned from working with lenders is that the real value of technology isn't simply about automating more decisions. It's about making the entire decisioning process more efficient, consistent and transparent.

That means clear audit trails, greater visibility of how decisions are reached and the flexibility to adapt credit strategies in a controlled way.

Achieving this requires more than isolated improvements to systems and workflows.

It requires a modern credit decisioning platform that brings together data, credit policy, automation and human expertise within one connected, controlled environment.

A platform that enables lenders to automate routine decisions, apply policy consistently, give underwriters greater visibility and respond confidently as business needs evolve.

This isn't simply about implementing new technology. It's about building a decisioning capability that can scale with the business, strengthen risk management and create capacity for sustainable growth.

That's why I believe credit decisioning should be viewed as a strategic business investment, not simply an operational or IT consideration.

What does excellent credit decisioning actually look like?

Before investing in change, I'd encourage lenders to take a closer look at how effectively their existing decisioning capabilities are performing.

And that means considering more than how quickly applications are processed. It's about understanding how well the entire operation supports risk management, efficiency, adaptability and growth.

There are five important characteristics I believe every asset finance leadership team should consider:

Controlled: Are credit policies applied consistently, with the governance, visibility and auditability needed to make confident decisions?

Fast: Are unnecessary manual interventions slowing down applications and limiting underwriting capacity?

Adaptable: How quickly can decisioning rules respond to changes in risk appetite, market conditions or commercial priorities?

Connected: Are data, systems and workflows working together effectively, or are disconnected processes creating unnecessary friction?

Intelligent: Are data, automation and human expertise being used to their full potential to improve decision quality and outcomes?

These are more than measures of operational performance. They provide a useful indication of how well equipped a lender is to compete, adapt and grow.

And the answers aren't always as straightforward as they might first appear.

In established operations, teams naturally become familiar with the systems and processes they use every day. It's not always easy to recognise where improvements could make a meaningful difference, particularly when those processes continue to deliver acceptable results.

Some of the biggest opportunities for improvement emerge when long-standing assumptions are revisited.

The hidden cost of standing still

When I speak with lenders about modernising their decisioning capabilities, I understand why conversations often turn to cost, complexity and potential disruption.

These are important considerations, particularly when existing systems and processes are deeply embedded within the business.

But there's another question I'd encourage leadership teams to consider.

What opportunities might be missed by continuing exactly as you are?

The underwriting capacity absorbed by repetitive tasks. The commercial opportunities affected by slower decisions. The difficulty of adapting credit policies. The operational costs that can increase alongside lending volumes.

Individually, these limitations may seem manageable. Collectively, they can constrain growth and competitiveness.

And when processes have been established for many years, it's not always easy to recognise their cumulative impact.

I believe there's a significant opportunity for lenders to take a more strategic view of decisioning, looking beyond immediate operational challenges to consider what greater efficiency, connectivity and control could enable.

The opportunity isn't simply to address today's inefficiencies. It's to build the decisioning capability needed for tomorrow's growth.

Importantly, modernisation doesn't have to mean replacing everything or embarking on a disruptive transformation programme.

A modern credit decisioning platform can work alongside existing infrastructure, connecting data, policy and automation to support progressive improvements and help lenders adapt as their requirements evolve.

But knowing where to focus those improvements requires something first.

A clear understanding of where you stand today.

Before you change anything, take a fresh look

I don't believe there's a single blueprint for excellent credit decisioning.

Every lender has different products, customers, risk appetites and commercial priorities. What works for one organisation may not be the right approach for another.

But I do believe every lender can benefit from stepping back and considering whether its existing capabilities are supporting its ambitions as effectively as possible.

Where is valuable underwriting expertise being underutilised? Where could automation create capacity? How effectively can the business respond to changing requirements? And where might greater consistency, transparency and control strengthen decisioning outcomes?

These aren't questions that necessarily demand immediate or wholesale change. They're an opportunity to understand what's working well, identify areas for improvement and consider what's possible.

The first step towards better credit decisioning isn't necessarily changing your technology. It's taking a fresh look at what your existing capabilities could achieve.

That's why we've developed the Asset Finance Decisioning Health check at LendingMetrics.

Built around five essential characteristics — Controlled, Fast, Adaptable, Connected and Intelligent — it provides lenders with a structured way to assess their decisioning maturity, revisit assumptions and identify opportunities for improvement.

Through 10 focused questions, lenders can reflect on their current approach, understand where their capabilities sit across the five characteristics and access relevant insight assets with practical considerations for what comes next.

Whether you're building on strong foundations or recognising opportunities to improve, the objective is the same: greater clarity about your current capabilities and the steps that could help you achieve better outcomes.

Because I believe the lenders best positioned for the future won't simply be those processing more applications.

They'll be those making the best use of their people, data and technology to deliver faster, more consistent and better-controlled decisions — with the flexibility to keep improving.

Is your credit decisioning ready for what's next?

10 questions. Five critical characteristics. A clearer picture of your decisioning maturity.

Discover how effectively your current decisioning capabilities support your growth ambitions and where opportunities for improvement may lie.

Explore the five supporting insight guides to understand what stronger decisioning capabilities could mean for your organisation.

And if you'd like to discuss your results or explore what better decisioning could mean for your business, I'd welcome the conversation.

Claire Januszczak
Head of Sales | LendingMetrics

Clarity in every decision.