AI Workforce Enablement
This application area focuses on systematically building the skills, roles, processes, and governance structures that public‑sector organizations need to use AI safely and effectively. It encompasses assessing current capabilities, defining AI‑related job roles, designing training pathways, and establishing repeatable practices so that governments are not overly dependent on vendors or ad‑hoc pilots. The goal is to create a sustainable internal workforce and operating model that can plan, procure, deploy, and oversee AI solutions across agencies. This matters because many state governments face mounting pressure to adopt AI while lacking in‑house expertise and clear guidance. Without a coherent workforce and capacity strategy, they risk stalled initiatives, uneven adoption, ethical missteps, and poor return on investment. AI workforce enablement addresses these challenges by providing structured frameworks, standardized playbooks, and coordinated training that accelerate responsible AI uptake, reduce risk, and help governments derive consistent value from AI across their portfolios of programs and services.
The Problem
“Build an internal, governed AI workforce—beyond pilots and vendor dependence”
Organizations face these key challenges:
AI pilots succeed in pockets but cannot be scaled or replicated across agencies
Unclear roles and accountability for model risk, data access, and approvals
Procurement and vendor management lacks AI-specific requirements and evaluation methods