FREE CHECKLIST
The AI Decision Checklist
Four conditions for a defensible AI decision. Run it on one AI use case with your cross-functional leads in about 30 minutes.
The four conditions
- Ownership Is one named person accountable, with the authority to stop it?
- Controls Are the AI risks that matter identified and reduced?
- Evidence Can you prove the controls work today? A policy is not proof.
- Decision rights Who can approve, change, expand, or retire the system?
Get the checklist
Free PDF. Instant download.
Every “no” is your next action
Each gap you find becomes a line in your real AI risk register.
Built for agentic AI
Agentic systems take actions. Decision rights must be settled before deployment, not after.
From the AI TIPS™ framework
80 controls across eight pillars, crosswalked to NIST AI RMF, ISO/IEC 42001, and CSA AICM.
“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.
