AI Governance and Organizational Architecture

Taught work

What this training covers

• Read Purview AI Hub risk signals before authorizing data access. Specify auto-labeling/PIM protections as deployment preconditions. Present responsible-AI risks to a board and secure accountable sponsorship. Design compliance triggers, standards and alignment documentation. Define a center-of-excellence policy-engine operating model. Specify validation, audit and human escalation in decision workflows. Set baseline structural-value indicators. Diagnose capability versus adoption barriers using workplace signals. Review a flawed governance charter and issue an authorization directive.

Source observed 2026-10-11

How you practice

• Seventeen assignments including 20-minute protection, compliance and accountability-design activities
• 90-minute executive governance authorization.

Source observed 2026-10-11

Fit & requirements

Nonprofit task fit — editorial interpretation

• NGO governance leaders can require enforceable data safeguards and accountable review roles before deploying AI.
• Fit limits: Significant governance/leadership and ecosystem familiarity
• Hands-on technical AI not required. Design decisions rather than coding. M365/Copilot active subscription required by parent for hands-on
• Parent certificate zero.

Source observed 2026-10-11

Prerequisites

• Executive/governance familiarity
• Parent certificate states Microsoft 365 and active Copilot license for hands-on work.

Source observed 2026-10-11