ESBD_476722_1768428688958_TRS000645_Fraud RFI_Addendum 1.pdf

This is Addendum Number 1 to a Request for Information (RFI) issued by the Teacher Retirement System of Texas (TRS) for an Enterprise Fraud Risk Program. The addendum modifies the original solicitation number TRS000645 by extending the proposal due date from January 15, 2026, to January 30, 2026, at 3:00 p.m. Central Time. Respondents are required to acknowledge receipt of this addendum by signing and dating the cover page and submitting it with their response; failure to do so may result in the response being deemed non-responsive. The RFI seeks comprehensive enterprise fraud management solutions capable of detecting and preventing fraudulent activities across member services, investment operations, and administrative functions including procurement, financial, and human resources operations.

The addendum does not contain pricing information, set-aside designations, incumbent vendor identification, or funding amounts. Vendors are not penalized for non-response to this RFI, and participation or non-participation does not affect their eligibility for future solicitations. TRS is specifically interested in commercial off-the-shelf (COTS) solutions with minimal customization or modular solutions that integrate with their existing Microsoft Azure data and AI platform, utilizing modern data architecture principles including medallion architecture, RESTful APIs, Apache Delta Lake, and Apache Kafka. Respondents must demonstrate fraud prevention, detection, mitigation, investigation, and analytics capabilities across employee, vendor, and third-party fraud domains, along with comprehensive case studies, implementation experience, and pricing model information.