The Responsible AI Buyer

This book is a Practical Framework for Navigating AI Vendors and Protecting Your Organization.

Inside this playbook, you will find:

50 critical questions to ask AI vendors to uncover hidden risks in their data, algorithms, and security.

A clear logic tree to help you decide when to develop in-house and when to partner with a third party.

How to run a "low-stakes, high-insight" test before committing to a long-term contract.

Ready-to-Use Toolkits:  the AI Risk Register Template, the Vendor Scoring Matrix, and an Implementation Governance Blueprint.

You don't need a PhD in Computer Science to be a responsible AI buyer. You need a process. Whether you are looking at a small automation tool or a massive generative AI overhaul, this playbook provides the guardrails you need to innovate with confidence.