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Brief Note · AI Governance

Before Scaling AI, Build the Operating Model

A short institutional checklist before widening deployment beyond early adopters.

By Qiqing He14 September 2025

If you scale before you know how decisions are made, who is accountable, and how quality is measured, you do not get speed. You get drift.

Three design questions

Who can stop a deployment? How is human judgement preserved where it matters? What evidence would change your mind?

A practical sequence

Stabilise workflows, clarify ownership, then widen access — not the reverse.

About the author

Qiqing He is an AI workforce transformation strategist and founder of the independent Global AI Governance & Workforce Transformation Policy Observatory. His research draws on evidence from China and Asia.