RFP 739-SL3821039 - Consulting Services - Enterprise AI Adoption and Enablement

Closed State & local contract opportunity Posted

Solicitation number
739-SL3821039
State
Texas
Responses due

Opportunity facts

NIGP code
Point of contact

Opportunity details come from txsmartbuy.com. Updated .

About this opportunity

Texas Tech University Health Sciences Center is requesting proposals for enterprise AI adoption and enablement consulting services under RFP 739-SL3821039, with proposals due September 21, 2026 at 4:30 PM Central Time and written questions due August 21, 2026.

Proposers must meet minimum qualifications including current status with the Texas Comptroller, compliance with the Texas Risk and Authorization Management Program, and certification that they are not listed under Section 889 or 1260H of the National Defense Authorization Act or controlled by foreign adversary governments. A VetHUB Subcontracting Plan is required.

The scope encompasses six primary deliverables: a comprehensive AI transformation plan with governance frameworks; leadership activation and change management programs; role-based workforce training curricula; workflow automation and custom AI solutions; analytics and ROI reporting dashboards; and knowledge transfer documentation. The engagement supports TTUHSC's transition from isolated, low-complexity AI utilization to durable, high-value adoption across academic, administrative, clinical, and research operational units.

Pricing shall be submitted as a not-to-exceed fixed fee for all deliverables with an itemized level-of-effort schedule, plus an hourly resource rate card by resource type valid through August 31, 2027. The anticipated contract term begins upon execution and expires August 31, 2027, with Net 30 payment terms.

Evaluation is weighted: Proposer's Pricing Proposal (30 percent), Proposer's Experience and Reputation (15 percent), and Proposer's Service Specifications (55 percent). The contract includes comprehensive HIPAA and FERPA compliance requirements, data security protocols including encryption standards, and prohibitions against using institutional data to train vendor proprietary models. TTUHSC reserves the right to award to one or more vendors and may conduct oral presentations with selected proposers before final award. Proposals must be submitted through the TechBid online system or by mail to the TTUHSC Purchasing Office.

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