Implementation Playbooks
Actionable implementation architecture — governance, training pathways, and measurement frameworks — built as public goods across the Observatory's three pillars.
4 playbooks
AI Workforce Transformation
Workplace AI Governance (RACI + Guardrails)
Purpose: Roles, responsibilities, and guardrails for responsible workplace AI use.
Who it's for: HR, compliance, leadership
Role/Task Mapping Method
Purpose: Map roles and tasks to AI readiness and transition paths.
Who it's for: Workforce planners, L&D
Training Architecture (Role-Based Pathways)
Purpose: Structured, role-based upskilling pathways for AI adoption.
Who it's for: L&D, talent teams
Adoption & Risk Measurement Framework
Purpose: Measure adoption, risks, and outcomes of workplace AI implementation.
Who it's for: Operations, risk, leadership
4 playbooks
AI Capability & Learning Systems
Acceptable Use & Governance Template (Schools)
Purpose: Policy and guardrails for school use of AI.
Who it's for: School leaders, IT, policy officers
Teacher Enablement Pathway (Beginner → Leader)
Purpose: Staged training and capability building for educators.
Who it's for: Teachers, professional development leads
Curriculum Integration Guide (AI literacy + computational thinking)
Purpose: How to embed AI literacy and computational thinking into existing curricula.
Who it's for: Curriculum designers, educators
Monitoring & Evaluation Metrics
Purpose: Outcome and impact measurement for AI literacy programs.
Who it's for: School systems, researchers