The SCUBI Consortium is implementing a new unemployment insurance system with the help of Monad Solutions

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Background

Labor agencies in Georgia, North Carolina, and South Carolina have linked together in the Southeast Consortium Unemployment Insurance Benefits Initiative (SCUBI) to eventually replace their individual systems with a single, shared system.

The new system is a big application built for the purpose of processing unemployment insurance for the states. It includes claimants (monetary or non-monetary), audits, back-end processing and interfaces to a lot of other systems across the three states.

 

Challenge

Monad Solutions needed to track how the consortium was handling the requirement analysis and map this to their handling of the fit gap analysis so that the architecture group could have the fullest opportunity to implement policy automation.

 

Solution

As the project progressed we developed the two major components: a rule base called Monetary and the implementation of the entire dynamic fact-finding systems.
Monetary computes the amount payable per week and in total to a claimant based on a variety of factors, there are three versions of this, one for each of the three states. All look similar to an extent, as all software of this nature is fractal at certain levels, but each of the states is different in terms of the rules they apply and, the way the payments are done.
We created three different monetary back-end rule bases, they are called directly from the SCUBI system in batch, and they process millions of records during conversion, achieving a high level of accuracy, much higher than what was experienced before.

 

Benefits

Monad Solutions, as a partnered vendor, have developed some critical components for the consortium and worked as technical partners with Capgemini to integrate it directly into the application.

The development of the dynamic fact finding and the rule bases is complete and is undergoing systems integrations testing. It will go live in the early part of 2017.

In the final reckoning, we built more than 400 dynamic fact-finding interviews for the three states.

You can access the full version of this case study here.