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Artificial Intelligence-Powered Advising Platform

Overview


Data Analytics, AI & Cloud Hosting
San Marcos, Texas, United StatesPosted: September 9, 2026Deadline: September 28, 2026

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SUMMARY


The organization is seeking an AI-powered advising platform to personalize student guidance, improve academic scheduling, identify risks, and support advisor productivity. Required capabilities include Banner SIS and Degree Works integration, student and advisor portals, analytics, implementation, training, and security compliance.

KEY REQUIREMENTS


CONTRACT DURATION


60 months

TIMELINE


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.

QUESTION DEADLINE


September 16, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


Texas State University

Organization overview and procurement intelligence available on paid plans.
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DESCRIPTION


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.

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Frequently asked questions


When is the submission deadline?
Submissions are due September 28, 2026. Questions must be submitted by September 16, 2026.
Who issued this RFP?
It was issued by Texas State University. The work is located in San Marcos, Texas, United States.
Who is a good fit for this opportunity?
  • Education technology provider with experience delivering AI-powered student advising solutions
  • Proven expertise integrating with Banner SIS and Degree Works
  • Strong capabilities in predictive analytics, workflow automation, and responsive web applications
  • Experience implementing secure, scalable platforms for higher education institutions
  • Established training, change management, and ongoing technical support capabilities

Analysis generated by Settle AI from the source RFP.

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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.

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