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This Government Contract opportunity from Georgia was posted on May 11, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI-Powered Fraud, Waste, and Abuse (FWA) Analytics Platform Development

Closed
State & Local

Contract Overview

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The contract involves the development and implementation of a cloud-based AI and machine learning system designed to identify irregularities in provider billing, detect duplicate enrollments, and uncover improper payments within Medicaid systems. This sophisticated analytics platform aims to combat fraud, waste, and abuse by leveraging advanced technology to enhance oversight and ensure more efficient allocation of Medicaid resources. Issued by the Georgia Department of Community Health, the contract is classified under the NAICS code 518210, which relates to data processing and hosting services. It is structured as a subcontract opportunity with a response deadline set for May 25, 2026. Specific details regarding the place of performance, contact points, and organizational requirements are not provided. The platform is expected to improve Medicaid integrity by providing actionable insights through AI-driven analytics.

General Info

Development of AI system for Medicaid fraud detection, targeting billing, enrollment, and improper payments.

Agency

Georgia → Department of Community HealthView Agency

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

GA, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGeorgia → Department of Community Health
ContactsNo contacts available
OfficeN/A
Organization / Agency
Georgia → Department of Community Health
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Design and implement a cloud-based AI/ML system to detect aberrant provider billing patterns, duplicate enrollments, and improper payments across Medicaid systems.