EXECUTIVE GUIDE

Governing AI After Approval

Seven questions executives should ask about every AI system after it goes live.

What’s inside

  • Ownership and reach Who owns it, and what can it actually reach and do today?
  • Change and visibility What has changed since approval, and can we see what it is doing?
  • Human review and stop Which decisions need a human, and how fast can we stop it?
  • Evidence What would we show a regulator or our board?

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Approval is not the end

The AI keeps acting long after the approval meeting ends.

Text is not a control

An agent’s real boundary is what its tools and credentials allow.

Built for agentic AI

Seven questions, each with a strong answer and a red flag.

“A principle is a promise. Governance is the machinery that keeps the promise.”

From De-Risking AI Adoption: The AI Trust Layer: An AI Governance Playbook.

From Pamela Gupta

I am the Founder and CEO of Trusted AI and the creator of the AI TIPS™ framework. I have been helping organizations identify and manage AI risks since 2019, before most enterprises had an AI governance function.

This resource comes from my book, with forewords by Jim Reavis, Khwaja Shaik, and Dr. Paul Dongha. See the book.