Document Processing · Real-time Analytics
The New Jersey Department of Community Affairs needed to replace fragmented, paper-based benefits administration across multiple agencies with a unified way to gather applications, review documentation, adjudicate cases, and analyze resident program data.
Reported impact
New Jersey DCA accelerated benefits access, cut resident application time and adjudication time, expanded adoption of assistance programs, and established a reusable framework for launching additional programs on top of the same data and workflow foundation.
IBM Consulting and the New Jersey Department of Community Affairs built the Utility Assistance Program portal as a unified digital front end for several state assistance programs. Microsoft Power Pages provides resident self-service applications, Microsoft Power Platform supports case-management workflows, and Azure AI Document Intelligence extracts key data from required documentation so adjudicators do not have to re-enter it manually. IBM and the agency also created a security-focused single source of truth on Microsoft Azure Cloud and a lakehouse on Microsoft Azure Databricks to combine resident, utility, and agency data into the department's "data mosaic." Microsoft Power BI then exposes dashboards and reporting, while IBM Consulting Advantage for Cloud Transformation built with watsonx helped delivery teams produce support materials and internal workflows more quickly. The result is a connected intake, adjudication, and analytics stack rather than isolated agency systems.
Residents submit applications through Microsoft Power Pages, case workflows in Microsoft Power Platform manage adjudication, Azure AI Document Intelligence extracts fields from uploaded documents, agency and utility data is unified in a Microsoft Azure Databricks lakehouse, and Microsoft Power BI serves dashboards and reporting while IBM Consulting Advantage accelerates internal delivery work.
Creating a unified source of data, documentation, reporting and outreach that’s security-focused and hosted on Microsoft Azure Cloud
Data lakehouse. Unifying various systems and NJBPU data sources into a comprehensive data lake supported by Microsoft Azure Databricks
Leaning on Microsoft Azure AI Document Intelligence to review and extract key data from required documentation
Reduced adjudication time by 88%
Using Microsoft Power Pages to create a user-friendly portal that offers guided, online applications and rapid data import for faster submissions
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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