Case Study

AI-Driven Document Management with ImageTrust for the Department of Human Services

Overview

Modernizing Human Services with AI-Driven Document Management

A State’s Department of Human Services (DHS) is dedicated to improving quality of life for individuals and families through opportunities for independence and accountability in taxpayer resource management.

DHS partnered with us to implement ImageTrust, a solution for distributed and centralized capture, that enabled DHS to securely transform its capture infrastructure and extend web-based capture wherever necessary.

Problem

Overcoming Data Silos and Inefficiencies in DHS Operations

DHS faced inefficiencies caused by disparate document capture systems across counties and programs, leading to:

    • Data silos: Information stored in isolated systems made it difficult to share citizen data effectively
    • Inconsistent workflows: Each program had unique rules and methods, slowing responsivenes
    • Critical risks: Delayed services put citizens—including children—at risk of missing essential resources like food and child support.

A cohesive solution was needed to unify document capture and ensure seamless data access across DHS programs statewide.

We deployed ImageTrust, a state-of-the-art, web-based intelligent document capture system that simplifies data collection and access statewide

Browser-based; no desktop installation required

Centralized deployment and management

Easy-to-use interface reducing user training needs

High-security architecture with robust performance

Recognizes and indexes critical information

Automated workflows to minimize manual intervention

impact

Increased Responsiveness

Unified capture and workflows enable faster application processing and improved citizen service delivery

Error
reduction

User-friendly tools minimize
errors and improve data accuracy throughout processes

Rapid
Deployment

New capture jobs and document types are implemented 50% faster than with traditional solutions

Cost
Savings

Concurrent licensing model minimizes costs with no page or volume-based fees

5/5

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