From AI-powered automation to real-time risk analytics, four leaders reveal the most significant technology shifts reshaping equipment finance.
The equipment finance industry is transforming. What was a world of manual audits and legacy systems is quickly evolving into a data-rich, tech-forward ecosystem. To understand where the industry is heading, we spoke with four executives leading the charge. They shared what’s driving the most significant change, where companies still struggle, and what tools will define the winners in the next few years.
What’s the biggest technology-driven shift you’re seeing right now in equipment finance, and how are you helping clients adapt?
JOE APPLEGATE: At TimeValue Software, we’re witnessing a shift toward workflow automation through AI and API integrations, particularly in high-volume, low-ticket lending. Companies are increasingly leveraging technology to enhance their underwriting processes, moving away from static, manual workflows. By integrating real-time data with their internal models, they can streamline operations to unlock productivity gains and improve the speed and accuracy of overall decision-making.
BRENDAN CRONIN:
I’m seeing two shifts that are related. First, a shift in (and heightened focus on) technology literacy overall, especially with equipment finance leaders. Instead of relying on IT or other expert functions to drive digital change, C-suite leaders have grown a deeper understanding of the technical details of their business and can speak eloquently as to why they are investing in talent, technology and the benefits they hope to glean. They don’t just ask “what do we need to do?” but they think strategically about downstream effects of technology choices on data and insights. It’s been exciting to watch this evolve over the last few years.
Secondly, this has driven a trend in preference toward implementing multiple technology systems over monolithic systems. This means equipment finance companies are connecting multiple processes into workflows rather than buying one system that does everything, which can limit capability and flexibility.
We’re helping clients adapt by offering flexible solutions tailored to their needs, rather than imposing a fixed workflow. There is a big difference between “buy this and here’s how it works,” and “tell me about your workflow and let’s collaborate on a solution together.” The latter is the future.
BRIAN KOPROWSKI: DataScan is focused on the floorplan side of equipment finance, and in our space, lenders are moving away from relying solely on physical audits toward continuous monitoring that provides daily insights into dealer activity. To answer the question directly, the most significant shift is from periodic, manual processes to real-time, data-driven oversight. With our RiskGauge solution, we’re helping clients integrate multiple data sources — like DMS feeds, GPS, OEM data, photography-based verifications and retail sales — into a unified platform that instantly flags anomalies. This real-time data aggregation empowers lenders to make smarter, faster decisions and reduce reliance on costly physical audits alone.
MICHAEL MOUSDALE:
I think we are seeing a lot of positive discussions around the power of AI and other technologies and their application to the equipment industry. Alfa Systems already enables intelligent automation and we’re actively incorporating AI into both our product and how we implement it. For example, AI agents in Alfa Systems to help flag inconsistencies in originations.
Part of this shift is contingent on data, with equipment finance companies drawing upon the benefits seen in other industries to get serious about how they store and use it. We’re helping our clients navigate this by providing our expertise on data strategy as well as a core platform that provides a best-in-breed data approach.
Where do most equipment finance companies still struggle with digital transformation, and what’s one practical fix you recommend?
APPLEGATE: Many still treat digital transformation as an IT project rather than a core business priority. Leadership must recognize the fundamental role AI and new technologies will play in reshaping lending processes. The challenge is aligning leadership, overcoming inertia and rethinking outdated processes — not just installing new tools. One practical fix would be to create a clear sense of urgency, supported by a cross-functional coalition with executive backing to lead the change. Companies that embed digital thinking into their DNA, not just their tech stack, will stay competitive.
CRONIN: Struggles with digital transformation arise when an organization may not understand (or admit) their digital readiness. Leaders can explore readiness in two ways: 1) do I have the talent and culture to achieve the vision? and 2) Do I have a scalable core technology strategy (cloud based or API friendly systems to connect to things) or do I have a legacy technology debt problem?
It’s very important to understand the strengths and gaps in these areas to plan a digital transformation and investments in right order. Otherwise, companies will be striving for something they can’t achieve because they don’t have the proper foundation.
Regardless of digital maturity, patience is key. It takes a while for investments to pay off and transformations to unfold in full. Leaders must be willing to let things run a few cycles and adjust as needed.
KOPROWSKI: Many still treat digital transformation as a tech project instead of a cultural shift. A practical first step is to digitize high-friction workflows, such as audit scheduling and reconciliation. Implementing solutions that consolidate multiple data sources, streamline dealer communication and reduce manual input can create quick wins that build momentum and drive broader adoption across the organization. Once they see the immediate efficiency gains and dramatically increased risk visibility, adoption spreads organically across their organization.
MOUSDALE: I think most companies struggle with prioritization and approaching digital transformation in an incremental fashion. It can be daunting to look at all of the exciting technology that peers in the industry, vendors and the wider world are utilizing and wonder, “How are we going to find the time and budget to achieve that?” That can lead to paralysis, either in terms of never committing or trying to do too much at once. But I think an easy fix is in the mindset. Make transformation bite-size and manageable via clear requirements definition, consistent cost-benefit analysis and be patient — transformation is a journey.
What role is data playing in driving better decisions for lenders today, and how do you help them unlock its full value?
APPLEGATE: Lenders are increasingly embracing data-first decision-making to replace static credit and risk models. By integrating real-time data with their own business logic, we are seeing more dynamic underwriting processes that are faster and more accurate. This shift is augmenting much of the manual work and is streamlining their operations. At TVS, we help unlock that value through our TValue Engine API, which lets lenders feed their inputs into our engine to automate pricing and structure loans and leases directly within their systems.
CRONIN: Every company wants to leverage the power of data-driven decision-making, but it’s easier said than done. To unlock future value, we’re helping lenders expand their definition of data so they can begin documenting things differently to leverage the power of AI and other future tools. Think of this as a shift in how we view data; it’s not just about numbers and tables anymore. Unstructured text data is valuable because AI can summarize it and create useful outputs. Documentation in general becomes more important, since everything you have ever written about your business becomes a data source. Think about capturing transcripts and other data that hasn’t been documented, especially from experienced employees. This data can later be used as training material for AI, making it useful in new ways. Lastly, when creating documentation, all of the old rules about good communication will still apply — it will be important to be clear, concise and specific.
KOPROWSKI: Data is no longer just a recordkeeping tool; it’s a strategic asset. The key is making that data timely, trustworthy and actionable. We help lenders centralize information from multiple systems, such as inventory movement, sales trends and location tracking, and then layer on analytics that identify patterns and risk signals. By automating data fusion and surfacing only what matters, lenders can shift from reactive to predictive decision-making.
MOUSDALE: Data is where it all begins. A lack of a clear data strategy will provide a constant impediment to technology transformation. It also inhibits your ability to accurately perform cost-benefit analysis of potential digital transformation initiatives, for example, bringing in a new technology to streamline particular bottlenecks in operational processes. Flawed data leads to flawed decisions.
Alfa Systems not only provides a wealth of data in real time for our customers but also provides best-in-breed technologies for integrating into an existing data landscape.
In today’s unpredictable economic environment, how can technology help lenders manage risk more effectively?
APPLEGATE: Navigating through unpredictable economic environments and heighted uncertainty has become a requirement over the last few years. Technology will play an integral role in helping businesses manage their risk. Lenders and service providers will need to leverage underlying portfolio data, to provide deeper insights into potential concerns and recommend solutions. Technology will analyze key risk inputs like payment schedules and cash flow patterns to identify early warning signs of risk — whether through missed payments, irregular payment patterns or shifts in a borrower’s financial health. With real-time monitoring and predictive analytics, lenders can not only spot potential defaults but also proactively restructure loans to mitigate risk and optimize outcomes.
CRONIN: In today’s volatile economic climate, technology helps lenders manage risk not by offering a one-size-fits-all solution, but by enabling a flexible, iterative approach. Leaders can start with low-scope solutions, test and refine them over time, and avoid large up-front investments by using modular platforms and variable-cost models. This “pay-as-you-go” mindset allows for nimble adjustments as conditions change. Modern tech also supports scalable, switchboard-like architectures where origination channels and portfolio strategies can be toggled based on risk. Together, these capabilities make lenders more resilient and responsive — without the cost burdens of traditional systems.
KOPROWSKI: Speed and clarity are critical when market conditions shift quickly. Technology that consolidates dealer-level data in real time allows lenders to detect inconsistencies, off-pattern activity or financial distress early — the keyword is early. With intelligent scoring and alerting systems in place, risk teams can prioritize interventions based on live behavioral data rather than waiting for periodic physical audits or lagging credit indicators. It’s about turning static oversight into dynamic risk management.
MOUSDALE: Technology can aid risk management in a number of ways. For example, underwriting processes can be orchestrated dynamically utilizing platform intelligence, to cater for high risk environments or industries. Similarly, AI and LLMs can be utilized to uncover deeper insights about the customer and or the asset, such as fraudulent behaviour recognition. Similarly, ongoing portfolio risk can be assessed via data insights and corrective action taken, for example accounting impairments during periods of high volatility for asset valuations.
How are customer expectations evolving, and what tools are essential for delivering a frictionless borrower experience?
Applegate: Borrowers — and increasingly vendors — are bringing consumer expectations into equipment finance, requiring less friction and faster approvals. This shift is carrying over from today’s consumer embedded finance model where real-time credit approvals are the norm. In today’s competitive environment, the ease of doing business can be a deciding factor. Lenders who reduce friction in the origination process are better positioned to strengthen vendor relationships and meet evolving borrower demands. Delivering a smooth, responsive experience is becoming a key differentiator.
Cronin: We bring expectations as consumers to our business transactions — this means fast, easy, intuitive steps, always. And achieving this can be intimidating when resources or budgets are limited. Many lenders focus on the originations phase to solve the frictionless experience conundrum, which is important, but consider another starting point: looking at the service phase of the workflow, because it’s the longest part of the relationship with the customer. Those interactions are more transactional in nature: payments, changing a card, understanding an invoice, making a change to finance agreement, etc. Businesses must deliver great customer experiences in this phase for lasting loyalty.
Achieving this starts with people as essential tools. Find and leverage the right skill sets to deliver a top-notch experience. This means seeking out great User Experience professionals who are skilled in user research, interaction design, user interface design, technical copywriting, offline customer experience strategies and more.
Secondly, leverage curiosity and a customer-centric mindset. Consider customer needs before every decision. Understand the entire value chain and think in terms of the entire customer experience. Go outside your walls when working with other intermediaries to understand exactly what it’s like working with your finance products.
Koprowski: Dealers increasingly expect fast, transparent and flexible interactions with lenders. Tools that reduce interruptions, such as self-service audit solutions with built-in validation, mobile capabilities and flexible scheduling, enhance the experience significantly. At the same time, lenders need visibility into dealer operations without adding administrative burdens. In equipment floor planning, it’s not uncommon for half of the floorplan line to be on some sort of long-term rental or lease. RiskGauge helps the lender understand the risk associated with these assets. The balance lies in leveraging technology that works for both sides: automating oversight while respecting the dealer’s time and operations.
Mousdale: I think we’re seeing the expectations of a predominantly business to business world of equipment finance shift more towards the experiences we see more commonly in consumer finance. Delivering standard, modern technology during the originations process, such as eSignatures, is key to making the onboarding experience seamless. Additionally, providing self-service capabilities to customers can not only bring an excellent experience, driving retention, but can also drive operational efficiency and cost savings.
Looking ahead two to three years, what’s one piece of tech or capability you think every equipment finance firm will need to stay competitive?
APPLEGATE: Looking ahead, it’s very hard to predict a single piece of technology that will be the most important, but rather it will be a thoughtful aggregation of systems, processes and technologies that result in the capability of equipment finance firms being agile and adaptive. As market conditions evolve at an accelerated pace, customer demands change and new risks emerge, companies will need to be able to quickly adjust their strategies and processes. It’s not just about adopting a single AI tool but building in a way that enhances overall flexibility and scalability, ensuring firms can meet future challenges head-on.
CRONIN: Today, AI in business is a nice-to-have asset we’re all still figuring out. But that will change drastically in the next few years. AI will become a business necessity and change how businesses operate. The cost of building software or other capabilities will be a fraction of what it once was because of the power of AI. Gone are the days of large development backlogs and delayed IT roadmaps. AI can build or develop much of what’s needed with a simple description. To prepare for this, think about the next moves and who at your organization is prepared to lead that change effectively? Even more important, how do you preserve relationships and skill sets of those who have longevity in the business?
KOPROWSKI: Every equipment finance lender will need a centralized risk intelligence platform. Siloed tools and one-off audits won’t cut it. The future belongs to platforms like DataScan’s RiskGauge that unify disparate data, score dealer risk in real time, and trigger intelligent workflows based on behavior, not a calendar. Competitive advantage will belong to those who invest in continuous monitoring, smart workflows and predictive analytics at scale.
MOUSDALE: Modern, API driven core platforms. It may sound simple, but those are the gateway to enabling all of the peripheral technologies, standard and specialized, that can provide the edge. Those using outdated, legacy core technology will struggle to keep pace. •
