Child Support programs were designed for the "traditional" family structure in which Dad works outside the home while Mom cares for the children. In the event of divorce, Dad would be required to provide financial resources to Mom.
Given today’s dynamics, there’s an opportunity to fundamentally rethink how states approach Child Support—and embrace bold change to deliver better outcome for families.
Automate child support legacy modernization
For child support agencies, legacy mainframe systems have become an operational liability. Mainframe modernization through code conversion addresses historic challenges and offers a lower risk, lower cost, accelerated path forward.
Convert to Java Enterprise or .NET platform model
Accenture offers fit-for-purpose code conversion solutions that leverage proven methods and automated tooling.
Convert to a platform-as-a-service model
The Accenture Intelligent Cloud Conversion Platform provides the ability to automatically convert legacy systems directly to a platform.
"Accenture brings a tremendous amount of knowledge to the table. They also bring [a] sense of how important the mission of child support is to families, as well as the creativity to see what’s possible in the future and what we can be doing to do a better job serving the families of our country."
— MARILYN STEPHEN, IV-D Director – Michigan Department of Human Services
Child support: Three bold questions
Child Support programs have an opportunity to evolve to meet the dynamic needs of today’s families. These questions can spark fresh thinking.
Empower parents
How would it look if we empowered both the custodial and non-custodial parents to decide how to support their children?
Rethink cost recovery
If states allowed complete pass-through of Child Support collections, how could this drive better outcomes for families?
Unleash innovation
What if states started using technology to take a more nuanced approach to establishing and enforcing support orders?
Michigan’s Office of Child Support (OCS) plays a crucial role in helping to ensure children receive the financial support they need even when their parents are not together.
The OCS wanted to address a key challenge: that as many as one in five child support cases kept getting "stuck" in pre-obligation, the first step in obtaining an obligation to pay child support.
As a result, too many children were waiting to receive support, and the OCS was at risk of not meeting federal child support guidelines for the percentage of open cases for which obligation is established.
Reflecting Michigan’s strategic goal of using analytics to improve child support services and outcomes for families, the OCS decided to test predictive analytics as a tool for understanding—and reversing—that trend.
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