Public Benefit Program Integrity Advanced Analytics, Machine Learning and AI Solutions
Overview
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SUMMARY
KEY REQUIREMENTS
TIMELINE
Issue date: August 11th, 2026
Closing date: August 31st, 2026
Estimated implementation date: July 1st, 2027
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
Idaho Department Of Health And Welfare
DESCRIPTION
The Department is seeking information from vendors regarding advanced analytics, machine learning, and artificial intelligence solutions to support public benefit program integrity across multiple benefit programs. The initiative is intended to identify anomalies, detect improper payments, conduct forensic reviews, and increase the use of data-driven identification methods beyond complaint-based referrals.
Potential capabilities include data mining, case prioritization algorithms, AI-enabled monitoring, enterprise-level detection and response, and human or hybrid AI-and-human review teams. Vendors may also support the development of case packages for potential administrative or legal action, prioritize cases based on risk and likelihood of recovery, and route complex or high-priority matters to program integrity investigators.
The Department also seeks to understand marketplace pricing, including contingency-based models, vendor capabilities for both detection and case development, and the potential for enterprise-wide applicability rather than solutions limited to a single program. The anticipated contract period is one year.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 31, 2026.
- Who issued this RFP?
- It was issued by Idaho Department Of Health And Welfare. The work is located in Boise, Idaho, United States.
- Who is a good fit for this opportunity?
- Advanced analytics, machine learning, and artificial intelligence solutions provider
- Experience with public benefit, government assistance, fraud detection, or program integrity programs
- Expertise in data mining, anomaly detection, risk scoring, and case prioritization
- Capability to provide human, AI-assisted, or hybrid investigative review teams
- Experience developing evidence packages for administrative or legal action
- Ability to deliver scalable, enterprise-wide solutions across multiple programs
- Familiarity with contingency-based and other public-sector pricing models
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.