From Legacy To Cloud: Engineering A Scalable SaaS Solution In The Lending Industry • AxiomQ

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August 15, 2025 Business

Legacy lending systems often remain in use long after their prime because they are familiar. Staff know how these systems work — their strengths, their flaws, and their quirks — and are often reluctant to adopt new tools.

The challenge? These legacy systems pose a significant risk to both operations and security. Older tools simply can’t scale like their cloud-based counterparts, and the patchwork nature of these tools creates security challenges. As noted by IBM, for example, the cost of a data breach for financial firms is 22% higher than the global average, coming in at $6.08 million.

Deploying scalable software-as-a-service (SaaS) solutions can help streamline operations and help lending firms lay the groundwork for long-term success. But what does this look like in practice? Here’s what you need to know about engineering scalable SaaS solutions for your lending firm.

How Scalable SaaS Solutions Differ From Legacy Tools

SaaS tools leverage the cloud rather than on-site servers as their primary resource. While user-facing applications are still installed on desktops or mobile devices, all the heavy lifting happens in the cloud.

Consider a legacy lending analysis tool designed to assess the risks of late or non-payment. Traditionally, all sensitive data is stored on-site. Any external resources are accessed by local tools, and relevant information is brought back under the umbrella of local IT networks. The argument for this model often centers around control; data kept closer to home is easier to monitor and manage.

Cloud-based solutions take a different approach. While lending firms still keep critical data stored on local servers, all processing, handling, and analysis happen in the cloud. SaaS tools can connect with multiple databases to simplify financial analytics and discover new trends.

SaaS solutions offer four benefits over legacy tools:

Improved efficiency — The architecture of legacy tools, from coding to connections to communication, makes them less efficient than their cloud-based counterparts. SaaS solutions, meanwhile, are continually updated to ensure process performance.

Enhanced flexibility — SaaS tools are flexible because they’re not bound to a single local server. Instead, they’re both powerful and portable. Consider the rise of microservices. This approach sees specific functions, such as loan approvals or market evaluations, packaged into independent operations using the process of containerization. As a result, these functions become portable. They can be connected or decoupled from any application without disrupting performance or outputs, in turn improving operational flexibility.

Reduced costs — Legacy servers come with costs, including power, cooling, and physical storage space. Companies must also ensure they have enough room for new data or sudden spikes in processing demands by purchasing additional servers that often sit unused until needed. In an SaaS model, costs are operational rather than capital. The volume of processing, storage, and other resources used defines the cost, rather than the hardware itself.

Simplified scalability — Cloud solutions are naturally scalable. There’s no upper limit to storage or processing resources. Instead, businesses use what they need and are charged accordingly. This is critical for lending firms that handle large client volumes or are experiencing significant market growth.

Key Engineering Considerations for Migration

So how do lending firms make the move to cloud-based services? A four-step approach can help mitigate common engineering issues:

Step 1: Identify ideal architecture

Before leaving legacy tools behind, take time to evaluate current environments and identify where cloud-based solutions can help reduce costs and improve performance. For example, if current loan software can handle throughput volumes but server performance is suffering because of large data volumes, storage may be your top cloud priority.

Step 2: Plan data migration

Moving data to the cloud is now a straightforward process. Many providers offer assistance to help ensure your data makes the move quickly and securely.

For lending companies, the key to effective data migration is planning. What goes first? What comes next? What impact will these migrations have on current operations? Understanding possible impacts helps define your data migration roadmap.

Step 3: Deploy security controls

Cloud environments are often more secure than their legacy counterparts. This is because cloud providers recognize the role of security in customer retention and satisfaction.

The caveat? While SaaS solutions can help protect your data, your firm is ultimately responsible for its protection. To reduce potential risk, make sure to deploy security controls such as identity and access management (IAM) solutions and multifactor authentication (MFA).

Step 4: Address regulatory compliance

Regulatory compliance is critical for lending companies. From data handling and security to ensuring user consent and tracking data access over time, compliance is a priority in any SaaS implementation.

When moving to SaaS, look for natively compliant solutions. While it’s possible to implement compliance processes after the fact, this can be time-consuming and complex.

Long-Term Strategies for SaaS Lending Success

Success with SaaS lending starts with the move to cloud-based solutions. But this approach isn’t one-and-done; just like lending operations, they evolve over time.

As a result, long-term strategies are the secret of SaaS success. This starts with regular reviews of monthly spending, including data storage, processing, and analysis costs. These reviews help discover possible cost concerns, such as cloud instances that are spun up for a specific purpose but never taken offline, or issues with duplicated data across multiple applications.

Next is ensuring that you have the right loan management software in place. Not all tools are created equal. While some are capable of connecting cloud and legacy data, others struggle to deliver end-to-end financial functions. Look for solutions that can grow alongside your business.

Finally, don’t rush to put everything in the cloud. Some data, such as customer-provided financial information, should live inside your network and under the direct control of IT staff. Keeping this data close to home doesn’t prevent SaaS-based tools from using this data for analysis or compliance reporting. Instead, this practice helps ensure data compliance in the event of a legal challenge or audit.

SaaS: The Leading Edge of Lending

Lending expectations are on the rise. Clients expect fast service and comprehensive risk analysis. Staff need tools that can keep pace with rising transaction volumes, and companies need solutions that keep them compliant with existing expectations and ensure regulatory alignment over time.

Scalable SaaS solutions help companies meet and exceed these expectations. By taking the time to consider current architectures and find best-fit technologies, lending firms can enhance current operations and drive future growth.

About the author:

Bradley Tompkins is Chief Information Officer at Vergent LMS, where he oversees the company’s product and technology initiatives. Tompkins has been with Vergent for nearly 10 years. He supervises customer implementations and vendor integrations to help ensure that Vergent’s platform is consistently performing at a high level for all users and partners.