Manual underwriting can feel like the safest way to stay in control, but feeling in control and having control aren’t necessarily the same thing.

And I understand why. Across the UK asset finance market, a decision can involve the business, its directors, the asset, existing exposure, affordability, and the structure of the deal. There is a lot to consider, and much of it requires experience and judgement.

But there’s an assumption sitting underneath that approach that I think is worth challenging:

Does having an underwriter manually do all the work around the decision actually give you more control?

I don’t believe it does.

Technology has moved on considerably, but that doesn’t mean judgement has to move with it. The lender can remain firmly in control of the decision. I’m not convinced perceptions of the technology have moved at the same pace. When people hear ‘decisioning technology’ or ‘automation’, there’s an assumption that the end goal is to remove the underwriter from the equation.

In fact, there is a lot of ground between a completely manual process and handing the final outcome over to technology. Assisted decisioning occupies that space, supporting more of the work around the decision while the underwriter remains responsible for making it.

What does being in control actually look like?

Control comes from being able to follow a decision from beginning to end and understand what influenced the outcome along the way. If you return to a case six months later, whether through an internal review, regulatory enquiry or customer complaint, the reasoning behind it should still be clear, manual or not.

That means having a reliable record of the data retrieved, the calculations made, how policy was applied and where human judgement influenced the outcome. Bringing that information together in a structured, auditable way can give lenders greater visibility over the decision than relying on a process that is predominantly manual.

That can become difficult when much of the process lives with the underwriter. They may be pulling information from different places or building up their own view of the case as they go. It’s familiar, and it feels hands-on, but there can still be variation in how that process plays out from one case to the next.

When that same case is supported by technology, more of the work surrounding the judgement can be handled consistently. Relevant data can be brought together and assessed against the lender’s own credit policy, with the results presented back as part of the case.

The underwriter has a clearer view of:

    • What has already been assessed
    • How the lender’s rules have been applied
    • Where their specific judgement is required

The lender remains responsible for setting the policy and making the eventual decision. The technology simply gives them a more controlled and visible way of putting that policy into practice.

The decision stays with the underwriter

Traditionally, much of how the case comes together sits with the underwriter. It’s a familiar approach, but it takes time and leaves more room for something to be missed along the way.

With assisted decisioning, more of that groundwork can already be completed, giving the underwriter a structured starting point and more time to interrogate the case and apply their experience where it matters.

The underwriter hasn’t been given less authority over the case. They’ve been given better support around the decision they are responsible for making.

When the manual process starts to constrain growth

As an asset finance lender grows, the amount of work surrounding its decisions grows with it. Relying on underwriters to carry more of that work eventually puts pressure on capacity. That can mean longer queues and slower responses, or simply less time available for the cases where experience and judgement have the greatest value.

Across the 85+ lending organisations we support and more than 100 transformation projects we’ve delivered, we’ve seen the same challenge from different angles: as lenders grow, pressure often builds around the work surrounding the credit decision rather than the judgement required to make it.

Bringing decision data together in a structured way also creates an opportunity to learn from those decisions over time. Lenders can identify patterns between the information available, the judgement applied and the eventual outcome, highlighting where policy, processes or training could be refined.

That creates a cycle of continuous improvement. Over time, those insights can help lenders identify where further automation is appropriate, improve pricing and efficiency, and potentially reduce bad debt — turning better visibility over decisioning into measurable commercial value.

The technology has changed considerably, but the objective remains grounded in lending: give credit teams a clearer, more controlled way to make decisions while creating the capacity to grow.

Assisted decisioning makes that possible by supporting more of the work around the decision while keeping control of the outcome with the lender.

A clearer view of control

How much of the process an underwriter performs manually tells us very little about how much control a lender actually has. What matters is whether the lender can clearly understand how the decision was reached and confidently stand behind it.

Assisted decisioning gives underwriters a clearer environment in which to exercise their judgement, with the lender retaining control of the outcome.

Discover how this fits into the wider future of asset finance decisioning in our Executive Guide.