Enterprise Tech and AI Strategic Roadmap Services

The Vendor is required to provide to develop a comprehensive artificial intelligence (AI) strategic plan integrated with enterprise information technology (IT) and operational technology (OT) strategy, data governance, and operational risk prioritization.
- Document review and enterprise gap analysis
• IT strategic plans
• Cybersecurity policies and standards
• AI governance policies (if any)
• Data governance frameworks
• Enterprise architecture documentation
• System inventories and integration diagrams
• Transportation planning documents
• Organizational charts and governance structures.
- Enterprise IT and OT system inventory
• Business owner and executive sponsor
• Technical owner
• Hosting environment (on-premises, cloud, hybrid)
• Core business function supported
• Integration dependencies
• Data classification level
• Known constraints, risks, or technical debt
• Vendor or licensing dependencies
- Stakeholder interviews and operational validation
• Executive leadership
• IT and cybersecurity leadership
• Traffic operations
• Maintenance and asset management
• Planning, design, and engineering
• Construction and project delivery
• Finance and administration
• District and regional leadership
• Legal
• Other relevant operational stakeholders
- Governance and risk management assessment
• IT governance structure and decision rights
• Investment prioritization processes
• Application classification practices
• Operational risk management procedures
• Cybersecurity alignment with state standards
• AI oversight and approval processes (if applicable)
- AI readiness assessment
• Inventory of existing or planned AI and analytics initiatives
• Data platform readiness evaluation
• Workforce capability and skills assessment
• Vendor dependency analysis
• Data quality and integration maturity
• Identification of barriers to AI adoption
- AI use case discovery workshops
• Traffic operations
• Maintenance and asset management
• Planning, design, and engineering
• Construction and project delivery
• Safety and risk management
• Finance and administration
• Geographic information systems (GIS)
• Legal
• Information technology and data management
- Data analytics and quality assessment
• Traffic data
• Roadway and asset data
• GIS data
• Sensor and field device data
• Financial and project planning data
• Project construction and schedule data
• Enterprise administrative data
• Project management data
- Dot benchmarking assessment
• Enterprise IT and operational technology governance models
• AI governance frameworks and risk management practices
• Data platform and analytics architecture approaches
• Application modernization and cloud adoption strategies
• Asset management and infrastructure analytics practices
• Organizational structures supporting digital transformation.