Artificial Intelligence Platform Development Services and Roadmap

The Vendor is required to provide of a closed artificial intelligence (AI) platform development services and roadmap.
- Online learning format provides students and their parent’s greater choice and flexibility in their education while ensuring a consistent, high-quality user experience.
- High school students who choose to study part-time online are supported in-person by local Online Learning Facilitators (OLFs), who supervise and support students in their online learning courses.
- Full-time online students also have access to a range of services and supports that are typically offered to in-person learners, including psychologists, speech-language pathologists, student support teachers, education assistants and social workers.
- Entering a strategic phase of digital modernization in which responsible, secure, and scalable AI integration will support improvements in teaching, learning, assessment, operations, student support, and administrative workflows.
- A 1-3 year AI implementation roadmap, including governance and risk frameworks.
- AI Organizational Needs Assessment
•    Cross-departmental consultation
•    Current-state analysis of AI readiness
•    Identification of technical, operational, instructional, privacy, and governance gaps
•    Benchmarking against best practices and comparable jurisdictions
•    Risk and opportunity analysis
•    Recommendations for immediate, mid-term, and long-term action
- AI Implementation Report (1–3 Years)
•    Phased roadmap aligned to agency goals identified in the needs assessment
•    Quick wins, pilot opportunities, long-term enterprise vision
•    Governance, ethics, and compliance structures
•    Technical architecture and data governance models
•    Change management and workforce readiness considerations
•    Sustained implementation and operational model
- Closed AI Platform Co-Development
•    Collaborative design of a secure, closed AI environment that supports dynamic course content development based on agency centralized course development administrative procedure.
•    A secure closed AI environment that includes an interactive tutor for students with teacher visibility and access
•    A secure closed AI environment for agency processes, analytics, and operational efficiencies
•    Technical architecture options
•    Integration considerations (including Moodle LMS, Microsoft 365, SIS, content systems, operational systems)
•    Privacy, security, and data retention frameworks
•    Scalability and sustainability analysis and recommendations.