FINANCIAL SERVICES

Modernize Loan Origination

Increase agility with SMARTS™ decision management

Financial Services Icon

Key Benefits:

  • Modify credit decisions and launch new products faster
  • Operationalize AI, machine learning, and deep learning models
  • Reduce operational costs while delivering a better customer experience
  • Improve the quality and consistency of risk decisions
  • Increase flexibility, scalability, and transparency

Manage Complexity with SMARTS™

Legacy Loan Origination Software and Systems Need an Upgrade

Increasing competition, regulatory activity, consumer expectations, and remote workforce is pushing their loan origination systems to their limits. While LOS have enabled financial services firms to create a single source of truth, automate processes, and manage the entire loan lifecycle, many firms are finding that their system has become too inflexible and costly to maintain. Modifying risk decisions often requires significant IT resources, preventing firms from adapting quickly to regulatory changes and capitalizing on new market opportunities such as Buy Now, Pay Later. In addition, the underlying code that automates risk and other operational decisions are often inaccessible or incomprehensible by the business analysts that manage these decisions. As a result, redundancies and errors accumulate over time.

 

The SMARTS™ Path to Next-Gen Digital Transformation for Financial Services

SMARTS™ is a modern, enterprise-level, application-agnostic, decision-management platform that enables non-technical analysts and SMEs to easily automate, manage, and continuously improve business-critical decisions in daily operations, whether explicit or AI-driven, with minimal IT resources. Whether you’re a fintech startup or established bank, credit union, or alternative lender, SMARTS™ enables you to strategically augment your loan origination system through a microservices approach. Quickly start with one application and easily expand into other applications across the organization.

Applications include:

Isolate business rules and code that automate decisions across disparate systems and manage them in one place. In this example, the logic for credit decisioning is displayed as a decision flow.

Manage decisions from our intuitive, integrated user interface. View data and KPIs in context of the decision logic.
Build custom interfaces (Business Apps) that control access and allow users to easily perform specific tasks without code. In this example, non-technical users can quickly modify eligibility and risk tiering rules without having access to the full underwriting decision logic. You can apply your own logo and CSS styling to the Business Apps.
Establish simulations and champion/challenger experiments to test different strategies on sample and live data in a low-risk manner.

Integrate machine learning and other data science models into your decision logic and create new models directly in SMARTS™. Explore correlations through our BluePen modeling tool.

Integrate SMARTS™ into your business process or policy administration system through an API call.
Monitor performance of models and decisions in real-time. Trigger alerts when certain thresholds are crossed or patterns are detected.

What If You Could Reduce Your Development Cycle by 90%?

WeShare Finance is a leading fintech that desired to modernize their risk management process for their consumer loan products. Through SMARTS™, they were able to achieve the following:

  • Enable business experts to manage over 90% of their business rules without IT
  • Save 80% in maintenance costs
  • Shorten development cycle by 90%
  • Significantly increase origination volume

FEATURED BLOG POSTS

How to Write Business Rules

How to Write Business Rules

Tips for Business Analysts on How to Write Business Rules Throughout the years, the business rules experts at Sparkling Logic have provided tips on how to write business rules. This post consolidates some of the best of the best with example business rules. Note, the...

Rete-NT Inference Rules Engine — A Closer Look

Rete-NT Inference Rules Engine — A Closer Look

A compiled Rete-NT inference rules engine is one of the many dedicated execution engines that SMARTS™ Data-Powered Decision Manager provides. In this post, we take a closer look at inference rules engines, Rete-NT, and what sets SMARTS™ apart from the rest. Inference...

Predictive Modeling Examples in Decision Automation

Predictive Modeling Examples in Decision Automation

Predictive Modeling Examples Predictive models can be used to improve decision making throughout an organization’s daily operations and throughout their customer’s journey. Examples of predictive modeling applications include (but are not limited to): Customer...