Spark Origination

Take your customers out of the marketplace with a complete end-to-end, paperless solution for originations, onboarding & loan applications.

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Streamline and automate the loan and account originations process with Spark.

Purpose

Spark is a very flexible platform that makes data readily available for consumption either internally or externally with absolutely no dependency on vendors. Data is first liberated then later augmented before it can be made available for consumption through the latest digital touch points. It is an API-enabled Platform, which brings to life an ecosystem delivering a true omnichannel banking experience.

Spark integrates with any existing banking systems. Once the integration is complete, you will be able to:

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Rapid Integration

Spark's modularised architecture and underlying powerful framework makes rapid integration possible with API enabled third party service.

Hub has knowledge of communicating with dozens of systems and services. All this knowledge can be reused to quickly integrate with any API.

It's innovation layer provides capabilities to expand into the areas of artificial intelligence, predictive analytics, and business insight.

Decision Engine

One of the high points of Spark is the in-built decision engine that it comes with. The decision engine is based on BPMN and DMN standards, and it makes it possible for business users to respond to market events from anywhere around the globe using a web modeller. Revised models can also be deployed in no time.

The entire decision-making process can be self-run or automated according to business needs. This saves time and resources. Processes can be programmed to auto-approve or auto-reject applications or send for manual review.

CMS

A business website and its content constitute the face of the business. They are an online representation or image of the business. Website content may be changed periodically or frequently, and this is where CMS comes in to play. Linking CMS to back-end transaction applications like decision engine in traditional systems can be a daunting task.

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Cloud native & Zero downtime

Spark is cloud native. Yes, we said that because it takes advantage of cutting-edge technology and comes pre-configured with features like Load Balancer, Redundancy and Autoscaling.

This tells us that the application should never go down, and if by any chance it does, a new instance spins up and joins the cluster in no time.

Any new features can be deployed with zero downtime.