Gen AI Student Support Platform

The vendor is required to provide regarding generative AI (GENAI) student support platforms powered by large language models (LLMS) that are designed to support students.
- AI-driven solutions that can supplement tier 1 student support functions such as academic advising, financial aid, IT help desk, LMS-related queries, and other student services
- AI-driven solutions that can supplement tier 1 student support functions such as academic advising, financial aid, IT help desk, LMS-related queries, and other student services
- AI platforms that can:
•    Serve as a tier 1 support layer for common student inquiries across areas such as advising, financial aid, admissions, it support, and general college services. 
•    Provide 24/7 availability with high-quality, accurate responses based on college-specific knowledge. 
•    Provide answers to financial aid questions that are consistent with state and federal regulations. 
•    Integrate with institutional systems such as SIS and ERP (e.g., PeopleSoft and other platforms), LMS (especially in structure canvas), CRM (e.g., HubSpot), or ticketing systems (e.g., Zendesk). 
•    Offer flexible user permissions (admin, manager, standard, read-only) to ensure proper access and control 
•    Offer analytics and insights to improve service delivery and identify student needs.
•    Leverage AI-driven engagement and intervention strategies to improve retention, persistence, and overall student success. 
•    Offer use of “variables” for commonly used terms or links 
•    Support academic tutoring and writing assistance aligned with college-level expectations. 
•    Support career services including resume reviews, interview preparation, and career exploration tools. 
•    Enable LMS-integrated assistance such as upcoming due dates, grades, and personalized alerts.
•    Deliver proactive support (e.g., nudges or alerts for at-risk students). 
•    Offer the ability to create and manage texting campaigns to engage students. 
•    Ability to be integrated on multiple college webpages. 
•    Address international student needs and general wellness queries. 
•    Demonstrate adaptive or self-improving capabilities over time. 
•    Support and enforce compliance with the family educational rights and privacy act (FERPA) and ensure the confidentiality, integrity, and availability of student education records. 
•    Identify potential vendors and providers for future consideration.
- Platform capabilities
•    Describe the AI and LLM model(s) used and how they are trained or customized. 
•    List support areas covered (advising, financial aid, it, admissions, etc.). 
•    The system handles LMS integration, particularly with canvas. 
•    The platform integrates with SIS and ERP systems, including PeopleSoft and any other platforms supported. 
•    Provide a comprehensive list of all third-party systems, platforms, and tools your solution is currently integrated with. 
•    Include any integrations currently in development or planned for release within the next 12–18 months. 
•    Multilingual capabilities and act and 508 compliances. 
•    Platform includes adaptive learning or self-improvement mechanisms.
•    Explain how it learns from past interactions to improve responses and how institutional teams can manage these learning loops. 
•    Explain if the team can customize questions and answers if needed. 
•    Include the testing functionality within the admin portal to ensure all features and integrations are working as expected before initially going live and before any updates go live. 
•    Test analytics should not be included in live analytics. 
•    The analytics features and statistics dashboard embedded in the platform including if the system records interactions. 
•    The means of escalating, handling, and reporting on escalations, and connecting with a live agent 
•    Staff are notified of integration breakdowns or issues with connectivity. 
•    Provide an option for user feedback and analytics associated with the feedback 
•    Explain how the system aligns with act requirements, including protection against unauthorized disclosure of personally identifiable information (PII) from student education records. 
•    Student data is encrypted both at rest and in transit using industry standard protocols. 
•    Access controls available to restrict access to student records based on job function and institutional policy; describe delivered audit logs for tracking user access and modifications to student records. 
•    User training resources, administrative documentation and support offered after implementation.
- Customization and integration
•    Outline integration options with systems such as PeopleSoft, canvas, HubSpot, Zendesk, and any other CRM, ERP, LMS, or service management platforms supported. 
•    Provide a full list of currently supported third-party integrations and note any planned future integrations. 
•    Explain how the platform is trained or customized for institution-specific content and how it responds to provide personalized responses to data in specific platforms. 
•    Administrative tools and content management capabilities.
- AI tutoring, writing, and career support
•    Any academic support features such as tutoring bots or writing assistance.
•    Outline features for career readiness, resume development, and interview preparation.
•    Clarify how these services align with academic integrity.

- Questions/Inquires Deadline: September 10, 2025