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Texas State University·Texas

Artificial Intelligence (AI) Powered Advising Platform

Closes 10/14/2026$500k – $2MRequest for Proposal
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Description

Texas State University is seeking a qualified firm to design, develop, implement, and provide ongoing support for an AI‑powered academic advising platform. The solution must deliver personalized student guidance, automated schedule generation, risk‑based alerts, and analytics integrated with the university’s Banner SIS and Degree Works systems. The contractor will be responsible for system architecture, AI model development, data integration, user‑interface design for both advisors and students, secure hosting, compliance with FERPA, and a comprehensive training and support plan for university staff. The engagement includes a three‑year initial term with optional one‑year extensions (up to five years total). • Design and build an AI‑driven advising engine that creates optimal student schedules and recommends courses. • Integrate nightly data feeds from Banner SIS and Degree Works, ensuring real‑time updates and compliance with university security standards. • Provide a web‑ and mobile‑responsive portal for students and a dashboard for advisors, including predictive risk modeling and analytics reporting. • Deliver implementation services, pilot testing, user‑acceptance testing, full rollout, training, documentation, and 24/7 support throughout the contract term.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Dan Alden(Contact)

[email protected]

(512) 245-2521

Key dates

Opened
9/8/2026
Questions due
9/16/2026
Closes
10/14/2026
Projected award
11/19/2026
Duration
3 years

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541511
Solicitation №
754-TXST-2027-RFP-513-VPGOI

Budget estimate

$500,000 – $2,000,000

Although the solicitation does not disclose a total contract value, comparable AI‑driven student‑advising platforms for public universities typically range from $500 K to $2 M for a three‑year implementation, integration, and support effort. The lower end reflects a lean solution with limited customization; the upper end assumes extensive AI model development, robust analytics, and full‑service support. Factors influencing the final amount include the scope of data integration, number of concurrent users, hosting model (cloud vs on‑premises), and level of ongoing support required.

AI estimate from the solicitation

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