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Fraud, Waste, and Abuse (FWA) Detection and Analytics

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This contract focuses on implementing advanced AI and machine learning-driven analytics along with rules-based systems to identify and prevent fraudulent claims, overbilling, and abuse within the IHSC claims system. The project aims to enhance the detection capabilities for fraud, waste, and abuse, thereby improving oversight and accountability within the claims process managed by the Department of Homeland Security. Scheduled as a subcontract opportunity, the procurement falls under NAICS code 541611, which relates to administrative management and general management consulting services. The work is to be performed primarily in Washington and is solicited by the Detention Compliance and Removals division of the DHS. The contract was posted in mid-June 2026, with a response deadline set for mid-July 2026, indicating a short window for interested parties to submit their proposals.

General Info

Implement AI analytics to detect and prevent fraud in DHS IHSC claims, subcontract opportunity.

Agency

Department Of Homeland Security → Detention Compliance And RemovalsView Agency

NAICS

541611 - Administrative Management and General Management Consulting Services View NAICS

Place of Performance

Washington, DC, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

subcontract

Response Deadline

Submission deadline

Response Deadline

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Detention Compliance And Removals
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Homeland Security → Detention Compliance And Removals
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Office AddressN/A
ContactsNo contact information available

Full Description

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Implement AI/ML-driven analytics and rules-based systems to detect and prevent fraudulent claims, overbilling, and abuse within the IHSC claims system.

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