Enhancing Public Health Program Efficiency Through Hyperautomation Innovation

Services Offered:

Legacy System Modernization, No-Code Platform Implementation, Workflow Automation and Operational Optimization

Industry: Higher Education / Public Health

Overview

Georgia State University (GSU) is a leading public research institution, serving over 54,000 students with 250+ degree programs. Within its Department of Public Health, GSU operates a renowned behavioral parenting program that supports at-risk families. Widely implemented across U.S. public health and social service agencies, the program reaches thousands of families across 29 states and seven countries.

The Challenge

Despite the program’s long-standing success, its 25-year-old legacy systems could no longer meet evolving demands. Previous modernization attempts failed, leading to:

Outdated Technology

Outdated Technology

High technical debt, rising maintenance costs, and excessive vendor dependence.

Fragmented Codebase

Fragmented Codebase

Inconsistent, multi-language scripts created skill gaps and resource bottlenecks.

Lack of Flexibility

Lack of Flexibility

The legacy system couldn’t keep up with new tech demands, resulting in data inefficiencies, budget overruns, and credibility loss.

These limitations led agencies to build their own systems, creating silos and driving hosting, licensing, and support costs up by over 300%.

The Solution:

Amzur modernized GSU’s legacy infrastructure using a cloud-native, low-code hyperautomation platform. This approach allowed for rapid deployment, configuration-based development, and long-term cost efficiency—without dependence on heavy coding.

Key Platform Capabilities Delivered:

No-code tools allowed for quick turnaround of workflows and app configurations.

Visual automation and robust data management adapted seamlessly to evolving requirements.

Configuration-driven architecture reduced vendor lock-in and enabled self-managed updates.

Key Objectives for the Transformation:

Minimize CapEx through a configuration-first model

Reduce vendor reliance while improving client self-sufficiency

Enable Straight-Through Processing (STP) for smoother end-to-end operations

Results & Impact

Faster Implementation

Average time to fulfill participant change requests dropped from 5 months to just 4 days.

Significant Cost Savings

Over 55% CapEx reduction and a 70% drop in support/maintenance costs.

Increased Operational Efficiency

Onboarding and coordination across agencies, caregivers, and families improved by over 60%.

Higher Program Adoption

Improved participant satisfaction drove wider rollout across more regions and agencies.

Conclusion

Through Amzur’s delivery of a scalable no-code hyperautomation platform, GSU successfully transformed its legacy public health system. The result: improved program visibility, faster implementation, lower costs, and a more impactful global reach.

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