AI Lending & Credit Risk Equipment Finance

Modernize equipment finance with the right technology, data, and mindset

Kate Randazzo

February 26, 2026

0 min read

Scale equipment financing operations with workflow automation

Equipment leasing financial institutions are operating in a market where winners and losers are defined by digital transformation, artificial intelligence, and growing expectations from customers and partners. For many, that means modernizing their processes to keep up with the competition.

Technology implementation strategy from experts

In a recent industry panel, technology leaders from Measured.ai, DLL, and Tokyo Century shared how IT strategy and AI-driven product development can reshape the way financial institutions approach equipment leasing. Technology is central to equipment leasing companies’ growth, risk management, and competitive differentiation. The importance of technology to success has big implications for how institutions modernize workflows, manage data, and think about automation.

Learn how to tap into the equipment financing opportunity in during this webinar.

Watch now

Benefits of modernization: Speed and transparency

For banks or credit unions offering equipment leasing, creating a better experience is the heart of most modernization efforts. New technology can reduce friction, increase clarity, and make progress visible across the lifecycle of a deal, from first contact through credit decisioning, documentation, funding, and servicing.

Digital transformation can dramatically improve existing processes, making steps faster and more efficient. But a common approach that thwarts modernization efforts is when bankers try to use the same workflows they’ve used for 30 years, just with better tools. There’s a limit to how much can change with that mindset, according to Moto Tohno, Vice President of Information Systems at Tokyo Century.

Real digital transformation connects people better, Tohno said. It requires rethinking how processes work from the ground up — especially how teams access and use data. “When you get to the right data in a better way,” he said, “you don’t just move faster. You create a better overall experience.”

Modernization should improve, not cost, relationships

The enduring competitive advantage businesses will have in the future is the relationships they have with their customers. What differentiates financing firms is “having the customer voice brought into every component of the organizational engineering,” said David Whipple, Chief Technology Officer at Measured.ai.

That’s a helpful lens for equipment financers evaluating workflow automation. The goal is fewer unnecessary or meaningless touches so that staff have more time to understand customer/member needs and suggest the best solution. For example, how many times does a client need to refill a form with data that they’ve already provided in another conversation? If the answer is more than once, thoughtful innovation could improve workflow.

Start with the business problem, not the shiny tool

Technology modernization is all about beginning with the problem, defining success, then selecting the right tool. And panelists suggested that approach also applies to adopting technology powered by AI.

“Adopting a technology because you’re in a fear of missing out mindset… is exactly the wrong reason,” Whipple said.

Instead, the panel advised financial institutions to start pursuing AI tools only when you’ve identified the business problem that you’re trying to solve for and have a measurable way to define success.

For equipment lenders, identifying the problem often starts with a few predictable pain points:

Intake and document collection that relies on email chains

Duplicate data entry across systems

Unclear handoffs between sales, credit, operations, and servicing

Exceptions handled manually with limited auditability

Digital transformations of equipment lease financing are most effective when it targets these breakdowns specifically. When done intentionally, AI-powered technology implementation can improve not only efficiency and client experience, but transparency at every step of the process.

“Rather than having subjective decisions,” Whipple said, “Consider how technology can help everybody along the value chain understand why certain decisions and outcomes are being made.”

Above all, the panel advised organizing data before implementing any machine learning technologies.

“AI is a layer of your data,” Whipple said. “And if you don't have clean data, you aren't going to get clear conclusions.”

Modernizing workflows means modernizing roles and governance, too

Modernization isn’t only technical — it’s operational and organizational. If equipment leasing lenders want new technology to stick, they’ll need to plan for role clarity and cross-functional ownership. As Camtu Vo, Manager of Product Development in DLL Group’s North American Food & Agriculture division put it, it’s not enough to modernize in silos. “I always run everything by legal, risk, and compliance,” she said. “Get the right people in the right room together and have those robust discussions.”

Key metrics to measure technology ROI

Panelists stressed that when it comes to determining whether or not your equipment financing processes have been truly improved, measuring activity isn’t the same as measuring improvement.

For equipment leasing lenders, practical modernization metrics often include:

time from application to decision (and decision to funding)

rework rates (missing fields, doc exceptions, resubmissions)

customer follow-ups required per deal

internal handoff time between teams

quality indicators (errors, overrides, policy exceptions)

Overall, panelists emphasized that modernizing leasing finance requires more than new equipment. Institutions must define the problem, map the workflows, bring stakeholders along, and measure outcomes. Institutions should avoid using AI as a tool rather than a strategy. They should not deploy any new technology without clear success criteria, and they should not skip the data quality prep that will help them implement new technologies seamlessly.

Equipment leasing institutions that modernize well will be the ones that use automation to reduce friction and increase transparency while protecting the people-to-people connections that customers still value most.

FAQs

What does it mean to modernize equipment finance?

Modernizing equipment finance means adopting the right technology, improving data practices, and updating organizational mindsets to make lease and financing workflows more efficient, transparent, and customer-centric. Modernization reshapes processes from application through decisioning, documentation, and servicing.

Why is technology central to equipment finance modernization?

Technology—especially automation and AI-driven tools—helps equipment finance teams reduce manual work, speed up processes, and improve data accuracy. It also enables clearer visibility and better collaboration across functions such as sales, credit, and operations.

What common challenges does modernization address?

Equipment finance modernization tackles pain points like disconnected intake processes, slow decisioning, manual exceptions handling, and limited auditability by redesigning workflows and using technology to automate repetitive tasks

How does data quality impact equipment finance transformation?

Clean, organized data is foundational for effective automation, analytics, and AI tools. Without solid data, technologies cannot deliver reliable insights or improvements, making transformation efforts less effective.

How does modernization improve customer experience?

Modernized workflows reduce friction, minimize duplicate data entry, clarify handoffs between teams, and make progress more visible throughout the deal lifecycle, which leads to faster decisions and a smoother experience for customers and partners.

Expanding credit union member business lending? Do this, not that.

Get the guide

Blog