Most organisations approaching AI adoption ask the wrong first question. They ask: “What can AI do for us?” The right first question is: “What governance architecture do we need before we adopt AI?”
The TEE Method — Transparency, Ethics, Equity — is a governance framework designed to answer that question systematically. It provides institutional leaders with a structured approach to evaluating, adopting, and governing AI systems across their organisations.
Transparency
Transparency in AI governance means more than publishing a policy document. It means ensuring that every stakeholder affected by an AI system can understand how decisions are made, what data is used, and who is accountable when things go wrong.
Ethics
Ethical AI governance requires moving beyond principles to practice. It means building ethics review into procurement processes, establishing red lines that cannot be crossed regardless of efficiency gains, and creating feedback mechanisms that surface harm before it scales.
Equity
Equity is the dimension most often neglected in AI governance frameworks. It asks: who benefits from this system, and who bears the risk? If the answer to both questions is not “the same people,” the system needs redesigning.
A governance framework is only as strong as the weakest voice it protects.
The TEE Method has been applied across institutional contexts — from university curriculum design to corporate AI procurement to government policy review. Its strength lies in its simplicity: three lenses, applied rigorously, before any technology decision is finalised.