Generative Artificial Intelligence Software

The vendor is required to provide artificial intelligence (AI) platform services on an as-needed basis.
- The AI platform services include:
1. AI chat and data analysis services:
• Platforms that provide advanced chat functionalities and the ability to store and analyze data. 
• These services enable users to interact with AI models for various tasks, including natural language processing, data interrogation, and generating insights.
2. AI model customization and integration: 
• services that allow for the customization through agents, MCP (model context protocol), or integration of AI models into existing workflows and applications. 
• This may include fine-tuning models, integrating AI capabilities into enterprise systems, and using AI APIs to augment application functionalities.
3. AI consulting services:
• Expert advice and support for planning, deploying, and managing AI solutions. 
• This includes consulting on best practices for AI adoption, continuous improvement, and ensuring compliance with data protection regulations.
4. AI enabling infrastructure: 
• Foundational services that support or extend agentic AI capabilities—such as virtual machines for model development and deployment, platform-as-a-service (PaaS) offerings for scalable application hosting, serverless functions for event-driven processing, and advanced data systems like graph and vector databases for contextual awareness and semantic retrieval.
- Requirements
1. Compliance with intellectual property and privacy regulations
• This includes ensuring that all material subject to copyright and all personal and sensitive data is handled in accordance with these regulations, protecting the intellectual property rights and privacy of individuals and maintaining the confidentiality of their information.
2. Infrastructure protection: 
• Proponent is directly responsible for protecting the infrastructure that runs all of the services offered in their proposal. 
• This infrastructure is composed of the hardware, software, networking, and facilities that run the proposed AI platform services.
3. Security and data protection requirements: 
• The ability to meet or exceed the university of security requirements. 
• Proponents must provide a completed university SaaS form or alternatively a higher education community vendor assessment toolkit (HECVAT) with their proposal. 
• This includes demonstrating comprehensive data protection strategies such as encryption, regular security audits, and compliance with industry best practices for data security.
4. Integration and user management: 
• Proponents must provide acceptable options for the university to integrate with their solution for authorization and authentication management. 
• This includes demonstrating capabilities for single sign on (SSO), user account management, role and access provisioning, and the ability to manage the enrolment of university users.
- Contract Period/Term: 5 years
- Questions/Inquires Deadline: July 25, 2025