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Questions due by September 16th, 2026.
Proposals due by September 28th, 2026.
Anticipated Board of Regents approval no earlier than December 7th, 2026.
Contract term begins on or before January 4th, 2027.
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Texas State University
The procuring organization seeks a vendor to design, implement, and support an artificial intelligence-powered advising platform focused on improving student success through personalized guidance, engagement, and analytics. The platform is expected to include intelligent schedule generation, a student personalization engine, predictive risk modeling, and tools that align advising activities with the student journey from discovery and enrollment through academic progress and success.
Advisor capabilities should include AI-generated schedule recommendations for review and approval, risk indicators and early-alert notifications, bulk scheduling for large caseloads, visibility into registration status and holds, schedule regeneration following curriculum changes, course forecasting, and reporting on advisor productivity and intervention tracking. The solution should also provide a web-based, mobile-responsive student portal.
The platform must integrate with Banner SIS and Degree Works and include appropriate authentication, security, compliance, reporting, analytics, performance, and scalability capabilities. The engagement is expected to cover implementation and deployment, along with training and change management.
Analysis generated by Settle AI from the source RFP.
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.