| Agency: | University of Texas at San Antonio |
|---|---|
| State: | Texas |
| Type of Government: | State & Local |
| NAICS Category: |
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| Posted Date: | Mar 25, 2026 |
| Due Date: | Apr 17, 2026 |
| Solicitation No: | 745-26-P33 |
| Original Source: | Please Login to View Page |
| Contact information: | Please Login to View Page |
| Bid Documents: | Please Login to View Page |
Project Description: UTHSA is a large academic health and research institution that is committed to advancing education, clinical care, research, and innovation. As artificial intelligence (AI), machine learning (ML), and generative AI tools are increasingly adopted across administrative, research, clinical, and academic functions; UTHSA requires a comprehensive framework to ensure AI systems are deployed responsibly, ethically, securely, and in compliance with regulatory and accreditation standards.
UTHSA currently utilizes multiple AI-enabled tools across departments, including generative AI assistants, predictive analytics platforms, research algorithms, and vendor-provided AI modules embedded within enterprise systems (e.g., ERP, EHR, CRM). The rapid adoption of AI technologies – both centrally approved and user-produced – creates governance challenges related to data privacy, cybersecurity, bias mitigation, model transparency, auditability, regulatory compliance, and institutional risk exposure.
This RFP seeks proposals for a comprehensive AI Governance and Monitoring Platform and associated services that will enable UTHSA to establish centralized oversight, risk classification, policy enforcement, performance monitoring, lifecycle management, and audit readiness across all AI use cases. Solutions MUST support healthcare and higher education regulatory environments (e.g., HIPAA, FERPA, FDA considerations, state privacy laws, and emerging AI regulations.
No Guarantee of Volume. UTHSA does not solicit or guarantee any specific amount of compensation, volume, minimum, or maximum amount of Services under this RFP or any contract or agreement resulting from this RFP.
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